🚀 pasa | Python
🎯 Primary Use Case:
Comprehensive and accurate academic paper search for complex scholarly queries.
✨ Key Features:
• Autonomous paper search agent
• Powered by large language models
• Reinforcement learning optimization
• Synthetic and real-world datasets
• Crawler and Selector LLM agents
📖 Summary:
PaSa is an advanced paper search agent that utilizes large language models to autonomously search for academic papers. It employs reinforcement learning and a dual-agent system (Crawler and Selector) to efficiently process queries, read papers, and select relevant references. PaSa is designed to provide comprehensive and accurate results, outperforming existing baselines in real-world academic search scenarios.
🔗 Links:
• View Project
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🔓 Open Source
🎯 Primary Use Case:
Comprehensive and accurate academic paper search for complex scholarly queries.
✨ Key Features:
• Autonomous paper search agent
• Powered by large language models
• Reinforcement learning optimization
• Synthetic and real-world datasets
• Crawler and Selector LLM agents
📖 Summary:
PaSa is an advanced paper search agent that utilizes large language models to autonomously search for academic papers. It employs reinforcement learning and a dual-agent system (Crawler and Selector) to efficiently process queries, read papers, and select relevant references. PaSa is designed to provide comprehensive and accurate results, outperforming existing baselines in real-world academic search scenarios.
🔗 Links:
• View Project
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🔓 Open Source
💡 apple-mcp | TypeScript
🎯 Primary Use Case:
Automating tasks and workflows across various Apple applications using the Model Context Protocol.
✨ Key Features:
• Send messages using the Apple Messages app
• List, search, and read notes in Apple Notes app
• Search contacts
• Send and schedule emails with attachments
• List and search reminders
📖 Summary:
The apple-mcp repository provides a collection of Apple-native tools designed to interact with the Model Context Protocol (MCP). It enables users to automate tasks across various Apple applications like Messages, Notes, Calendar, and Maps. This allows for the creation of workflows that can be triggered and managed programmatically.
🔗 Links:
• View Project
• Homepage
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🔓 Open Source
🎯 Primary Use Case:
Automating tasks and workflows across various Apple applications using the Model Context Protocol.
✨ Key Features:
• Send messages using the Apple Messages app
• List, search, and read notes in Apple Notes app
• Search contacts
• Send and schedule emails with attachments
• List and search reminders
📖 Summary:
The apple-mcp repository provides a collection of Apple-native tools designed to interact with the Model Context Protocol (MCP). It enables users to automate tasks across various Apple applications like Messages, Notes, Calendar, and Maps. This allows for the creation of workflows that can be triggered and managed programmatically.
🔗 Links:
• View Project
• Homepage
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🔓 Open Source
🌟 KeyPass | Kotlin
🎯 Primary Use Case:
Securely store and manage passwords offline.
✨ Key Features:
• Offline password management
• Open Source
• Encrypted Backup and Restore
• Dark Mode Support
• Material Design 3
📖 Summary:
KeyPass is an open-source, offline password manager built with Kotlin. It allows users to securely store, manage, and generate passwords without relying on internet connectivity. Key features include encrypted backups, dark mode support, Material Design 3, biometric authentication, TOTP, and import/export functionality.
🔗 Links:
• View Project
• Homepage
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🔓 Open Source
🎯 Primary Use Case:
Securely store and manage passwords offline.
✨ Key Features:
• Offline password management
• Open Source
• Encrypted Backup and Restore
• Dark Mode Support
• Material Design 3
📖 Summary:
KeyPass is an open-source, offline password manager built with Kotlin. It allows users to securely store, manage, and generate passwords without relying on internet connectivity. Key features include encrypted backups, dark mode support, Material Design 3, biometric authentication, TOTP, and import/export functionality.
🔗 Links:
• View Project
• Homepage
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🔓 Open Source
🌟 sxwm | C
🎯 Primary Use Case:
A tiling window manager for X11 environments, designed for users who want a minimal, fast, and configurable window management solution.
✨ Key Features:
• Tiling and Floating window management
• Workspace support
• Live configuration reload
• Easy configuration via sxwmrc file
• Master-Stack layout
📖 Summary:
sxwm is a lightweight and configurable tiling window manager for X11. It offers features like tiling and floating layouts, workspace support, live config reload, and mouse support. It's designed to be fast, dependency-free, and easily configurable through a human-friendly `sxwmrc` file.
🔗 Links:
• View Project
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🔓 Open Source
🎯 Primary Use Case:
A tiling window manager for X11 environments, designed for users who want a minimal, fast, and configurable window management solution.
✨ Key Features:
• Tiling and Floating window management
• Workspace support
• Live configuration reload
• Easy configuration via sxwmrc file
• Master-Stack layout
📖 Summary:
sxwm is a lightweight and configurable tiling window manager for X11. It offers features like tiling and floating layouts, workspace support, live config reload, and mouse support. It's designed to be fast, dependency-free, and easily configurable through a human-friendly `sxwmrc` file.
🔗 Links:
• View Project
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🔓 Open Source
🌟 Cloudreve | Go
🎯 Primary Use Case:
Self-hosted file management and sharing with multi-cloud support.
✨ Key Features:
• Supports multiple cloud storage providers (Local, Remote, Qiniu, Aliyun OSS, Tencent COS, Upyun, OneDrive, S3 compatible API)
• Direct transmission upload/download with speed limiting
📖 Summary:
Cloudreve is a self-hosted file management system that supports multiple cloud storage providers, enabling users to store, share, and manage their files in a centralized location. It offers features like direct transmission upload/download, offline downloading via Aria2, WebDAV support, and customizable themes, providing a comprehensive solution for personal or organizational file management needs.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Self-hosted file management and sharing with multi-cloud support.
✨ Key Features:
• Supports multiple cloud storage providers (Local, Remote, Qiniu, Aliyun OSS, Tencent COS, Upyun, OneDrive, S3 compatible API)
• Direct transmission upload/download with speed limiting
📖 Summary:
Cloudreve is a self-hosted file management system that supports multiple cloud storage providers, enabling users to store, share, and manage their files in a centralized location. It offers features like direct transmission upload/download, offline downloading via Aria2, WebDAV support, and customizable themes, providing a comprehensive solution for personal or organizational file management needs.
🔗 Links:
• View Project
• Homepage
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🔓 Open Source
✨ suitcase-lock-recovery | HTML
🎯 Primary Use Case:
Recovering forgotten combinations for 3-digit suitcase locks.
✨ Key Features:
• Interactive 3D lock simulation with rotating dials
• Visual feedback for hole alignment
• Step-by-step guided recovery process
• Progress tracking for combinations tried
• Combination generator
📖 Summary:
The Suitcase Lock Recovery Tool is a web-based application designed to help travelers recover forgotten combinations for their 3-digit suitcase locks. It uses an interactive 3D simulation and a guided process to exploit the mechanical design of the locks, significantly reducing the number of combinations needed to try.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Recovering forgotten combinations for 3-digit suitcase locks.
✨ Key Features:
• Interactive 3D lock simulation with rotating dials
• Visual feedback for hole alignment
• Step-by-step guided recovery process
• Progress tracking for combinations tried
• Combination generator
📖 Summary:
The Suitcase Lock Recovery Tool is a web-based application designed to help travelers recover forgotten combinations for their 3-digit suitcase locks. It uses an interactive 3D simulation and a guided process to exploit the mechanical design of the locks, significantly reducing the number of combinations needed to try.
🔗 Links:
• View Project
• Homepage
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🔓 Open Source
🌟 sqlglot | Python
🎯 Primary Use Case:
Parsing, transpiling, optimizing, and formatting SQL queries across different dialects.
✨ Key Features:
• SQL Parsing
• SQL Transpilation
• SQL Optimization
• SQL Dialect Conversion (24 dialects)
• Syntax Error Detection
📖 Summary:
SQLGlot is a Python library for parsing, transpiling, optimizing, and formatting SQL queries. It supports conversion between 24 different SQL dialects and provides features for syntax error detection, custom dialect support, and abstract syntax tree (AST) analysis and manipulation. It enables developers to work with SQL queries in a dialect-agnostic way.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Parsing, transpiling, optimizing, and formatting SQL queries across different dialects.
✨ Key Features:
• SQL Parsing
• SQL Transpilation
• SQL Optimization
• SQL Dialect Conversion (24 dialects)
• Syntax Error Detection
📖 Summary:
SQLGlot is a Python library for parsing, transpiling, optimizing, and formatting SQL queries. It supports conversion between 24 different SQL dialects and provides features for syntax error detection, custom dialect support, and abstract syntax tree (AST) analysis and manipulation. It enables developers to work with SQL queries in a dialect-agnostic way.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ wowy | Jinja
🎯 Primary Use Case:
Building and managing a full-featured e-commerce platform.
✨ Key Features:
• Product Management (multi-image support, category management, stock tracking)
• Order Management (shopping cart, order tracking, PDF invoice generation)
• User Management (customer accounts, wishlist, multiple shipping addresses)
• Admin Dashboard (sales analytics, revenue tracking, customer analytics)
📖 Summary:
WOWY is a Django-based e-commerce platform designed for creating and managing online stores. It offers features such as product and order management, user accounts, an admin dashboard with analytics, payment integration, and a product variant system. The platform aims to provide a seamless shopping experience for customers and efficient administrative tools for store owners.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Building and managing a full-featured e-commerce platform.
✨ Key Features:
• Product Management (multi-image support, category management, stock tracking)
• Order Management (shopping cart, order tracking, PDF invoice generation)
• User Management (customer accounts, wishlist, multiple shipping addresses)
• Admin Dashboard (sales analytics, revenue tracking, customer analytics)
📖 Summary:
WOWY is a Django-based e-commerce platform designed for creating and managing online stores. It offers features such as product and order management, user accounts, an admin dashboard with analytics, payment integration, and a product variant system. The platform aims to provide a seamless shopping experience for customers and efficient administrative tools for store owners.
🔗 Links:
• View Project
================
🔓 Open Source
💡 pandas-ai | Python
🎯 Primary Use Case:
Conversational data analysis using LLMs, allowing users to interact with their data using natural language.
✨ Key Features:
• Natural language interaction with data
• Integration with LLMs and RAG
• Support for SQL, CSV, and Parquet data sources
• Data visualization capabilities
• Multiple DataFrame support
📖 Summary:
PandasAI is a Python library that enables conversational data analysis by leveraging LLMs and RAG techniques. It allows users to interact with data from various sources like SQL databases, CSV files, and Parquet files using natural language. The library also supports data visualization and handling multiple DataFrames, making data analysis more accessible and efficient.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Conversational data analysis using LLMs, allowing users to interact with their data using natural language.
✨ Key Features:
• Natural language interaction with data
• Integration with LLMs and RAG
• Support for SQL, CSV, and Parquet data sources
• Data visualization capabilities
• Multiple DataFrame support
📖 Summary:
PandasAI is a Python library that enables conversational data analysis by leveraging LLMs and RAG techniques. It allows users to interact with data from various sources like SQL databases, CSV files, and Parquet files using natural language. The library also supports data visualization and handling multiple DataFrames, making data analysis more accessible and efficient.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 PdfDing | Python
🎯 Primary Use Case:
Self-hosted PDF management, viewing, and editing.
✨ Key Features:
• Browser-based PDF viewing with remembered position
• Multi-level tagging, starring, and archiving
• PDF editing with comments, highlighting, and drawings
• Highlight and comment management and export
• Clean UI with dark mode and custom themes
📖 Summary:
PdfDing is a self-hosted PDF manager, viewer, and editor designed for seamless use across multiple devices. It offers features like tagging, starring, archiving, and editing PDFs with comments and highlights. The application provides a clean user interface with dark mode, SSO support, and the ability to share PDFs with external audiences.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Self-hosted PDF management, viewing, and editing.
✨ Key Features:
• Browser-based PDF viewing with remembered position
• Multi-level tagging, starring, and archiving
• PDF editing with comments, highlighting, and drawings
• Highlight and comment management and export
• Clean UI with dark mode and custom themes
📖 Summary:
PdfDing is a self-hosted PDF manager, viewer, and editor designed for seamless use across multiple devices. It offers features like tagging, starring, archiving, and editing PDFs with comments and highlights. The application provides a clean user interface with dark mode, SSO support, and the ability to share PDFs with external audiences.
🔗 Links:
• View Project
================
🔓 Open Source
🔥 VTScanner | Python
🎯 Primary Use Case:
File scanning for malware detection and analysis.
✨ Key Features:
• Directory-based scanning
• Detailed scan reports
• Hash-based checks
• VirusTotal integration
• Time delay functionality for free VirusTotal accounts
📖 Summary:
VTScanner is a Python-based security tool designed for comprehensive file scanning and malware detection within specified directories. It integrates with the VirusTotal API to provide detailed scan reports, hash-based checks, and interactive exploration of VirusTotal results. The tool offers features for both free and premium VirusTotal API users, including time delay functionality and concurrent scanning support.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
File scanning for malware detection and analysis.
✨ Key Features:
• Directory-based scanning
• Detailed scan reports
• Hash-based checks
• VirusTotal integration
• Time delay functionality for free VirusTotal accounts
📖 Summary:
VTScanner is a Python-based security tool designed for comprehensive file scanning and malware detection within specified directories. It integrates with the VirusTotal API to provide detailed scan reports, hash-based checks, and interactive exploration of VirusTotal results. The tool offers features for both free and premium VirusTotal API users, including time delay functionality and concurrent scanning support.
🔗 Links:
• View Project
================
🔓 Open Source
🚀 ml-comotion | Python
🎯 Primary Use Case:
Detecting and tracking 3D poses of multiple people from a single camera in real-time, even in crowded and occluded environments.
✨ Key Features:
• Detects and tracks detailed 3D poses of multiple people from a single monocular camera stream.
📖 Summary:
The CoMotion repository provides tools and scripts for detecting and tracking detailed 3D human poses from monocular video streams. It uses a combination of per-frame detection and learned pose updates to maintain temporally coherent predictions, even in crowded scenes with occlusions. The repository includes pretrained models, demo scripts, and visualization tools, supporting both video and single-image inputs.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Detecting and tracking 3D poses of multiple people from a single camera in real-time, even in crowded and occluded environments.
✨ Key Features:
• Detects and tracks detailed 3D poses of multiple people from a single monocular camera stream.
📖 Summary:
The CoMotion repository provides tools and scripts for detecting and tracking detailed 3D human poses from monocular video streams. It uses a combination of per-frame detection and learned pose updates to maintain temporally coherent predictions, even in crowded scenes with occlusions. The repository includes pretrained models, demo scripts, and visualization tools, supporting both video and single-image inputs.
🔗 Links:
• View Project
================
🔓 Open Source
🔥 dia | Python
🎯 Primary Use Case:
Generating ultra-realistic dialogue from text transcripts, with the ability to control emotion and tone using audio prompts.
✨ Key Features:
• Generates realistic dialogue from text
• Supports emotion and tone control via audio conditioning
• Produces nonverbal communications (laughter, coughing, etc.)
• Provides pretrained model checkpoints and inference code
📖 Summary:
Dia is a text-to-speech model that generates highly realistic dialogue in a single pass. It allows for conditioning on audio to control emotion and tone, and can produce nonverbal cues. The repository provides access to pretrained model checkpoints and inference code for research purposes, focusing on English language generation.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Generating ultra-realistic dialogue from text transcripts, with the ability to control emotion and tone using audio prompts.
✨ Key Features:
• Generates realistic dialogue from text
• Supports emotion and tone control via audio conditioning
• Produces nonverbal communications (laughter, coughing, etc.)
• Provides pretrained model checkpoints and inference code
📖 Summary:
Dia is a text-to-speech model that generates highly realistic dialogue in a single pass. It allows for conditioning on audio to control emotion and tone, and can produce nonverbal cues. The repository provides access to pretrained model checkpoints and inference code for research purposes, focusing on English language generation.
🔗 Links:
• View Project
================
🔓 Open Source
🌟 ml-matrix3d | Python
🎯 Primary Use Case:
Unified photogrammetry model for pose estimation, depth prediction, and novel view synthesis.
✨ Key Features:
• Pose estimation
• Depth prediction
• Novel view synthesis
• 3D reconstruction pipeline
• Masked inference for various photogrammetry tasks
📖 Summary:
The Matrix3D repository provides a unified model for performing multiple photogrammetry subtasks, including pose estimation, depth prediction, and novel view synthesis. It includes the model inference pipeline and a modified 3DGS reconstruction pipeline. The model supports various photogrammetry tasks via masked inference.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Unified photogrammetry model for pose estimation, depth prediction, and novel view synthesis.
✨ Key Features:
• Pose estimation
• Depth prediction
• Novel view synthesis
• 3D reconstruction pipeline
• Masked inference for various photogrammetry tasks
📖 Summary:
The Matrix3D repository provides a unified model for performing multiple photogrammetry subtasks, including pose estimation, depth prediction, and novel view synthesis. It includes the model inference pipeline and a modified 3DGS reconstruction pipeline. The model supports various photogrammetry tasks via masked inference.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ yt-history | TypeScript
🎯 Primary Use Case:
Visualize and analyze YouTube watch history.
✨ Key Features:
• Import YouTube history data from Google Takeout
• Visualize watching patterns and trends
• Filter and search through watch history
• Generate insights about most-watched channels and categories
• Track time spent watching different types of content
📖 Summary:
The YouTube History Analyzer is a web application that allows users to import their YouTube history data from Google Takeout and visualize their watching patterns and trends. It provides features to filter and search through watch history, generate insights about most-watched channels and categories, and track time spent watching different types of content.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Visualize and analyze YouTube watch history.
✨ Key Features:
• Import YouTube history data from Google Takeout
• Visualize watching patterns and trends
• Filter and search through watch history
• Generate insights about most-watched channels and categories
• Track time spent watching different types of content
📖 Summary:
The YouTube History Analyzer is a web application that allows users to import their YouTube history data from Google Takeout and visualize their watching patterns and trends. It provides features to filter and search through watch history, generate insights about most-watched channels and categories, and track time spent watching different types of content.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 ccxt | Python
🎯 Primary Use Case:
Connecting and trading with cryptocurrency exchanges and payment processing services worldwide.
✨ Key Features:
• Support for many cryptocurrency exchanges
• Fully implemented public and private APIs
• Optional normalized data for cross-exchange analytics and arbitrage
• Unified API for easy integration
• Works in Node.js, Python, PHP, C#, Go, and web browsers
📖 Summary:
CCXT is a cryptocurrency trading library that provides a unified API for accessing various cryptocurrency exchanges. It supports multiple programming languages and offers features like normalized data for arbitrage and easy integration. It's intended for developers, traders, and analysts building trading algorithms and related software.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Connecting and trading with cryptocurrency exchanges and payment processing services worldwide.
✨ Key Features:
• Support for many cryptocurrency exchanges
• Fully implemented public and private APIs
• Optional normalized data for cross-exchange analytics and arbitrage
• Unified API for easy integration
• Works in Node.js, Python, PHP, C#, Go, and web browsers
📖 Summary:
CCXT is a cryptocurrency trading library that provides a unified API for accessing various cryptocurrency exchanges. It supports multiple programming languages and offers features like normalized data for arbitrage and easy integration. It's intended for developers, traders, and analysts building trading algorithms and related software.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 weather-mcp-server | Go
🎯 Primary Use Case:
Enabling AI assistants like Claude to access real-time weather data through the Model Context Protocol (MCP).
✨ Key Features:
• Lightweight Model Context Protocol (MCP) server
📖 Summary:
The weather-mcp-server is a lightweight Go-based server that implements the Model Context Protocol (MCP) to provide AI assistants with real-time weather data. It supports both local and remote deployment, includes a Dockerfile for easy containerization, and offers a 'current_weather' tool for querying weather information by city. The server is designed to be easily integrated with AI platforms like Claude, allowing them to access and interpret up-to-date weather conditions.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Enabling AI assistants like Claude to access real-time weather data through the Model Context Protocol (MCP).
✨ Key Features:
• Lightweight Model Context Protocol (MCP) server
📖 Summary:
The weather-mcp-server is a lightweight Go-based server that implements the Model Context Protocol (MCP) to provide AI assistants with real-time weather data. It supports both local and remote deployment, includes a Dockerfile for easy containerization, and offers a 'current_weather' tool for querying weather information by city. The server is designed to be easily integrated with AI platforms like Claude, allowing them to access and interpret up-to-date weather conditions.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🚀 ninjabot | Go
🎯 Primary Use Case:
Creating and testing custom cryptocurrency trading strategies on Binance.
✨ Key Features:
• Paper Wallet (Live Simulation)
• Backtesting (Simulation with historical data)
• Real Account (Binance)
• CLI tool for downloading historical data
📖 Summary:
Ninjabot is a fast cryptocurrency trading bot framework implemented in Go, designed for Binance. It allows users to develop, backtest, and deploy custom trading strategies for spot and futures markets. The platform includes features for live simulation with paper wallets, backtesting with historical data, and real account trading, along with a CLI tool for downloading market data.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Creating and testing custom cryptocurrency trading strategies on Binance.
✨ Key Features:
• Paper Wallet (Live Simulation)
• Backtesting (Simulation with historical data)
• Real Account (Binance)
• CLI tool for downloading historical data
📖 Summary:
Ninjabot is a fast cryptocurrency trading bot framework implemented in Go, designed for Binance. It allows users to develop, backtest, and deploy custom trading strategies for spot and futures markets. The platform includes features for live simulation with paper wallets, backtesting with historical data, and real account trading, along with a CLI tool for downloading market data.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 no-ghibli | Jupyter Notebook
🎯 Primary Use Case:
Filtering Studio Ghibli-related content from Twitter.
✨ Key Features:
• Real-time detection of Studio Ghibli-related images on Twitter
• Hides tweets containing Studio Ghibli-related images/videos
• User-friendly popup interface for controlling the extension
• Efficient image classification using a trained Keras model
📖 Summary:
The No Ghibli Chrome extension detects and filters out Studio Ghibli-related content from Twitter in real-time. It utilizes a Flask backend with a Keras model for image classification and a Chrome extension to hide tweets containing identified Ghibli content, providing a user-friendly experience through a popup interface.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Filtering Studio Ghibli-related content from Twitter.
✨ Key Features:
• Real-time detection of Studio Ghibli-related images on Twitter
• Hides tweets containing Studio Ghibli-related images/videos
• User-friendly popup interface for controlling the extension
• Efficient image classification using a trained Keras model
📖 Summary:
The No Ghibli Chrome extension detects and filters out Studio Ghibli-related content from Twitter in real-time. It utilizes a Flask backend with a Keras model for image classification and a Chrome extension to hide tweets containing identified Ghibli content, providing a user-friendly experience through a popup interface.
🔗 Links:
• View Project
================
🔓 Open Source
🌟 neural-structured-learning | Python
🎯 Primary Use Case:
Training neural networks with structured signals (graphs and adversarial perturbations) to improve accuracy and robustness, especially with limited labeled data.
✨ Key Features:
📖 Summary:
The neural-structured-learning repository provides tools and APIs for training neural networks using structured signals, such as graphs and adversarial perturbations. This approach enhances model accuracy, particularly when labeled data is scarce, and improves robustness against malicious attacks. The framework offers Keras APIs, TensorFlow ops, and graph building tools for flexible integration with various neural network architectures.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Training neural networks with structured signals (graphs and adversarial perturbations) to improve accuracy and robustness, especially with limited labeled data.
✨ Key Features:
📖 Summary:
The neural-structured-learning repository provides tools and APIs for training neural networks using structured signals, such as graphs and adversarial perturbations. This approach enhances model accuracy, particularly when labeled data is scarce, and improves robustness against malicious attacks. The framework offers Keras APIs, TensorFlow ops, and graph building tools for flexible integration with various neural network architectures.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source