#rust #blockchain #rust #wasm

Linera is a decentralized blockchain system that helps build fast and scalable Web3 applications. It has different parts like `linera-base` for cryptography, `linera-chain` for block management, and `linera-client` for user interactions. You can set up a local test network easily using the Linera service CLI commands, which allows you to run transfers between different chains. This makes it easy to develop and test your own blockchain applications quickly and efficiently. Visit the developer page or whitepaper to learn more.

https://github.com/linera-io/linera-protocol

#rust #busybox #command_line_tool #coreutils #cross_platform #gnu_coreutils #rust

uutils coreutils is a tool that works like GNU coreutils but is written in Rust. It allows you to use the same utilities on different platforms like Linux, Mac, and Windows. This makes it easy to transfer scripts between these platforms. You can install it using Cargo or GNU Make, and it comes with user and developer documentation. The benefit is that you can use consistent tools across various operating systems, making your work more efficient and flexible.

https://github.com/uutils/coreutils

#python

The minGPT library is a simple and educational implementation of the GPT model using PyTorch. It is designed to be small, clean, and easy to understand, making it perfect for learning about GPT models. The library includes just three main files: one for the Transformer model, one for text encoding, and one for training the model. You can use it to train GPT models from scratch or load pre-trained models to generate text. This library is beneficial because it provides clear and manageable code, making it easier to learn and experiment with GPT technology.

https://github.com/karpathy/minGPT

#rust #bitcoin #blockchain #ledger #performance_blockchain #rust #rustc #solana

To build and use Solana, you need to follow a few steps. First, install Rust and its tools using simple commands. Then, download the Solana source code from GitHub and build it using `cargo build`. You can also run tests with `cargo test` and start a local testnet for development. The process is well-documented, making it easier for developers to contribute and ensure their changes don't break existing solutions. This helps maintain high code quality and productivity, as tests protect new solutions from future changes. By following these steps, you can contribute to and use Solana effectively, ensuring your work is reliable and secure.

https://github.com/solana-labs/solana

#typescript #apm #application_monitoring #distributed_tracing #go #good_first_issue #jaeger #log #logs #metrics #monitoring #nextjs #observability #open_source #opentelemetry #prometheus #react #reactjs #self_hosted #tracing #typescript

SigNoz is a tool that helps you monitor and troubleshoot your applications easily. It combines logs, metrics, and traces in one place, allowing you to spot issues before they happen and fix problems quickly. It's cost-effective and open-source, similar to Datadog and New Relic but without the high costs. With SigNoz, you can monitor application performance, manage logs efficiently, track user requests across services, create customized dashboards, and set alerts for unusual activities. This makes it easier to identify and solve problems quickly, ensuring your application runs smoothly.

https://github.com/SigNoz/signoz

#go #baidupcs

This tool, BaiduPCS-Go, is a command-line client for Baidu Netdisk that works like a Linux shell. Here’s what you need to know It works on Windows, macOS, Linux, and even mobile devices.
- **Multiple Account Support** You can download, upload, copy, move, delete, and share files and directories. It also supports downloading entire directories and uploading large files.
- **Offline Download** You can share files and directories, and manage the recycling bin.
- **Configuration**: You can customize settings such as download/upload speeds, concurrent tasks, and more.

Using this tool simplifies managing your Baidu Netdisk files and directories efficiently, especially for those familiar with Linux commands. It's beneficial because it offers advanced features like offline downloads, file sharing, and detailed configuration options, making it a powerful tool for managing your cloud storage.

https://github.com/qjfoidnh/BaiduPCS-Go

#typescript #flashcards #obsidian #obsidian_md #obsidian_plugin #spaced_repetition #spaced_repetition_system #srs

The Obsidian Spaced Repetition Plugin helps you remember things better by using flashcards and notes with a technique called spaced repetition. This means you review information at optimal times to fight forgetting. You can create different types of flashcards, including single-line and multi-line cards, and even use rich text features like images, audio, and videos. The plugin also lets you review entire notes and track your progress with statistics. It's available in many languages and has a community for support and feedback. Using this plugin can help you learn and remember things more effectively.

https://github.com/st3v3nmw/obsidian-spaced-repetition

#python #agent #ai #chatbot #chatgpt #docker #function_calling #gemini #gpt #llama #llm #ollama #openai #python #qq #qqbot #qqchannel #telegram

AstrBot is a powerful chatbot and development framework that supports multiple messaging platforms like QQ, WeChat, Telegram, and more. It integrates with large language models (LLMs) such as OpenAI, Google Gemini, and others, allowing for multi-round conversations, personality settings, and multimodal capabilities like image understanding and speech-to-text. The bot has a user-friendly plugin system, a visual management panel, and high stability due to its modular design. This makes it easy to deploy and manage, with various deployment options including Docker, Windows, and Replit. Using AstrBot benefits users by providing a versatile and highly customizable chatbot solution that can be easily extended with new features through plugins.

https://github.com/Soulter/AstrBot

#makefile

DeepSeek LLM is a powerful language model with 67 billion parameters, trained on 2 trillion tokens in English and Chinese. It outperforms other models in areas like reasoning, coding, math, and Chinese comprehension. The model is available in both base and chat versions, and it has shown exceptional performance in various benchmarks, including coding challenges and mathematical exams.

Using DeepSeek LLM, you can expect superior general capabilities, proficient coding and math skills, and mastery in the Chinese language. The model is open-source, allowing for broad research and commercial use under the provided licenses. You can easily integrate it into your projects using HuggingFace's Transformers or vLLM for high-throughput inference.

This benefits you by providing a highly capable and versatile language model that can enhance your projects in AI research, coding assistance, mathematical problem-solving, and more.

https://github.com/deepseek-ai/DeepSeek-LLM

#other

You can integrate the DeepSeek API into many popular software applications to enhance their functionality with AI. This includes chat clients like Chatbox and ChatGPT-Next-Web, productivity tools such as Raycast, and even coding assistants in IDEs like JetBrains and VS Code. You can also use it in browser extensions for translations, Neovim plugins for coding assistance, and other tools like Zotero for research organization. To get started, you need to access the DeepSeek Open Platform to obtain an API key. This integration helps you automate tasks, improve language translations, and gain better insights through advanced AI capabilities.

https://github.com/deepseek-ai/awesome-deepseek-integration

#typescript #ai #ai_scraping #crawler #data #html_to_markdown #llm #markdown #rag #scraper #scraping #web_crawler #webscraping

Firecrawl is a tool that helps you get clean data from any website. Here’s how it benefits you Firecrawl can scrape and crawl websites, converting the content into formats like markdown, structured data, or HTML, making it ready for use in AI applications.
- **Advanced Capabilities** You can customize the scraping process by excluding certain tags, crawling behind authentication walls, and setting the maximum crawl depth.
- **Batch Processing** Firecrawl integrates with various SDKs and frameworks like Python, Node, Go, Rust, and more, making it easy to use in different projects.
- **Cloud and Self-Host Options**: You can use the hosted version or self-host it, depending on your needs.

Overall, Firecrawl simplifies the process of extracting data from websites, saving you time and effort.

https://github.com/mendableai/firecrawl

#rust #ai #dex #memecoins #rust #solana #trading

"Listen" is a powerful tool for trading on the Solana blockchain. It lets you monitor transactions in real-time, swap tokens quickly across different exchanges, and track prices and performance metrics. It also integrates with AI agents and Prometheus for advanced monitoring. To use it, you need to set up some environment files and dependencies, then you can run it using Docker or command lines. This tool helps you make faster and smarter trades, and it provides detailed metrics to help you understand your trading performance better. However, be careful as it is still being developed and some features might not work perfectly yet.

https://github.com/piotrostr/listen

#go #go #golang #gorilla #gorilla_web_toolkit #http #middleware #mux #router

The `gorilla/mux` package is a powerful tool for routing HTTP requests in Go. It allows you to match incoming requests to specific handlers based on various criteria such as URL paths, hosts, schemes, headers, and query values. Here’s the key benefit:

You can easily set up complex routing rules with variables in URLs, path prefixes, and even custom matchers. This makes it flexible for handling different types of requests efficiently. For example, you can define routes with variables like `/products/{key}` and retrieve these variables in your handlers. Additionally, you can use subrouters to group routes that share common conditions, optimizing request matching.

It also supports middlewares for tasks like logging and authentication, graceful shutdown of the server, and handling CORS requests. This makes it a comprehensive solution for building robust web applications in Go.

https://github.com/gorilla/mux

#other #awesome #awesome_list #data_mining #deep_learning #explainability #interpretability #large_scale_machine_learning #large_scale_ml #machine_learning #machine_learning_operations #ml_operations #ml_ops #mlops #privacy_preserving #privacy_preserving_machine_learning #privacy_preserving_ml #production_machine_learning #production_ml #responsible_ai

This repository provides a comprehensive list of open-source libraries and tools for deploying, monitoring, versioning, scaling, and securing machine learning models in production. Here are the key benefits The repository includes a wide range of tools categorized into sections such as adversarial robustness, agentic workflow, AutoML, computation load distribution, data labelling and synthesis, data pipelines, data storage optimization, data stream processing, deployment and serving, evaluation and monitoring, explainability and fairness, feature stores, and more.

- **Production Readiness** The repository is actively maintained and contributed to by a community of developers, ensuring that the tools are up-to-date and well-supported.

- **Ease of Use** Tools for optimized computation, model storage optimization, and neural search and retrieval help in improving the performance and efficiency of machine learning models.

- **Privacy and Security**: Libraries focused on privacy and security, such as federated learning and homomorphic encryption, ensure that sensitive data is protected during model training and deployment.

Using this repository, you can streamline your machine learning workflows, improve model performance, and ensure robustness and security in your production environments.

https://github.com/EthicalML/awesome-production-machine-learning

#shell #case_management #cyber_security #endpoint_security #information_security #intrusion_detection_system #monitoring #network_security #security #security_tools #threat_hunting

Security Onion 2.4 is a new version of a security tool that helps protect your network. It has features like alerts, dashboards, and detection tools to find and stop threats. You can also use it to hunt for suspicious activity and analyze network traffic. The benefit to you is that it makes it easier to keep your network safe from cyber attacks and provides clear visuals and tools to manage security effectively. You can find more details on how to download, install, and use it through the provided links.

https://github.com/Security-Onion-Solutions/securityonion

#rust #firewall #frp #http #nat #network #ngrok #noise #noise_protocol #proxy #rust #tunnel

Rathole is a tool that helps you access services on devices behind a NAT (Network Address Translation) from the internet. It works like other tools like frp and ngrok but is more efficient and secure. Here’s how it benefits you Rathole handles many connections and provides high throughput with low memory usage, making it better for heavy loads.
- **Security** You can set it up easily using configuration files, and it supports hot reloading of services without restarting.
- **Low Resource Consumption**: It uses fewer resources than similar tools, making it suitable even for small devices like routers.

Overall, Rathole helps you expose your local services to the internet securely and efficiently.

https://github.com/rapiz1/rathole

#java #alldata #cloudeon #cube_studio #datahub #datart #datasophon #datavines #dinky #dolphinscheduler #griffin #hudi #iceberg #openmetadata #paimon #streampark

AllData is a comprehensive data platform that offers multiple features such as data integration, data quality management, report analytics, and machine learning. It has a customizable architecture and supports integration of open-source projects, with plans to release 30 new open-source project frameworks by the end of 2024. Users can choose between the open-source version or the commercial version, with the latter offering a more stable experience with fewer bugs. The commercial version includes additional features like real-time development, offline platform, and BI reporting capabilities. This platform helps users comprehensively manage and utilize data, improving work efficiency and data analysis capabilities.

https://github.com/alldatacenter/alldata

#swift #mlx

These examples help you use machine learning in Swift programming. You can train models, generate text and images, and analyze pictures using pre-made tools. For instance, you can download and train a model to recognize handwritten numbers or generate images from text prompts. These tools run on iOS, macOS, and other platforms, making it easy to integrate machine learning into your projects. By using these examples, you can quickly start working with advanced AI features without starting from scratch, saving you time and effort.

https://github.com/ml-explore/mlx-swift-examples

#jupyter_notebook

The AI Engineering Hub is a valuable resource for anyone interested in AI engineering. Here, you can find detailed tutorials on Large Language Models (LLMs) and Retrieval-Augmented Generators (RAGs), as well as real-world applications of AI agents. The hub offers examples that you can implement, adapt, and scale in your own projects, making it useful for beginners, practitioners, and researchers alike. By using this hub, you can gain hands-on experience and stay updated with the latest developments in AI engineering, helping you to learn and succeed in this field. Plus, subscribing to the newsletter gets you a free Data Science eBook with over 150 essential lessons.

https://github.com/patchy631/ai-engineering-hub

#html #tts_handbook

The TTS Handbook is a living document that outlines the mission, values, structures, policies, tools, and guides for our team. It is regularly updated and allows users to contribute by opening issues or submitting pull requests. To use it, you can run the site locally using Docker or npm commands. The handbook benefits users by providing a centralized resource for team information and processes, making it easier to stay informed and contribute to the team's growth. Additionally, it is in the public domain, meaning anyone can use and contribute to it without copyright restrictions.

https://github.com/18F/handbook