๐ฅ Trending Repository: maigret
๐ Description: ๐ต๏ธโโ๏ธ Collect a dossier on a person by username from 3000+ sites
๐ Repository URL: https://github.com/soxoj/maigret
๐ Website: https://maigret.readthedocs.io
๐ Readme: https://github.com/soxoj/maigret#readme
๐ Statistics:
๐ Stars: 19.8k
๐ Watchers: 121
๐ด Forks: 1.4k
๐ป Programming Languages: Python - HTML - Go Template - Batchfile - Makefile - Jupyter Notebook
๐ท๏ธ Related Topics:
==================================
๐ง By: https://t.me/DataScienceM
๐ Description: ๐ต๏ธโโ๏ธ Collect a dossier on a person by username from 3000+ sites
๐ Repository URL: https://github.com/soxoj/maigret
๐ Website: https://maigret.readthedocs.io
๐ Readme: https://github.com/soxoj/maigret#readme
๐ Statistics:
๐ Stars: 19.8k
๐ Watchers: 121
๐ด Forks: 1.4k
๐ป Programming Languages: Python - HTML - Go Template - Batchfile - Makefile - Jupyter Notebook
๐ท๏ธ Related Topics:
#python #cli #open_source #osint #social_network #scraping #sherlock #python3 #cybersecurity #identification #infosec #pentesting #blueteam #investigation #reconnaissance #redteam #osint_framework #socmint #osint_python #namechecker
==================================
๐ง By: https://t.me/DataScienceM
๐ฅ Trending Repository: invidious
๐ Description: Invidious is an alternative front-end to YouTube
๐ Repository URL: https://github.com/iv-org/invidious
๐ Website: https://invidious.io
๐ Readme: https://github.com/iv-org/invidious#readme
๐ Statistics:
๐ Stars: 19.3k
๐ Watchers: 183
๐ด Forks: 2.1k
๐ป Programming Languages: Crystal - HTML - JavaScript - CSS - Shell - Dockerfile - Makefile
๐ท๏ธ Related Topics:
==================================
๐ง By: https://t.me/DataScienceM
๐ Description: Invidious is an alternative front-end to YouTube
๐ Repository URL: https://github.com/iv-org/invidious
๐ Website: https://invidious.io
๐ Readme: https://github.com/iv-org/invidious#readme
๐ Statistics:
๐ Stars: 19.3k
๐ Watchers: 183
๐ด Forks: 2.1k
๐ป Programming Languages: Crystal - HTML - JavaScript - CSS - Shell - Dockerfile - Makefile
๐ท๏ธ Related Topics:
#youtube #video #watch #youtube_video #libre #agplv3 #hacktoberfest #invidious
==================================
๐ง By: https://t.me/DataScienceM
๐ฅ Trending Repository: uBlock
๐ Description: uBlock Origin - An efficient blocker for Chromium and Firefox. Fast and lean.
๐ Repository URL: https://github.com/gorhill/uBlock
๐ Readme: https://github.com/gorhill/uBlock#readme
๐ Statistics:
๐ Stars: 63.9k
๐ Watchers: 1k
๐ด Forks: 4.1k
๐ป Programming Languages: JavaScript - CSS - HTML - WebAssembly - Shell - Makefile - Python
๐ท๏ธ Related Topics:
==================================
๐ง By: https://t.me/DataScienceM
๐ Description: uBlock Origin - An efficient blocker for Chromium and Firefox. Fast and lean.
๐ Repository URL: https://github.com/gorhill/uBlock
๐ Readme: https://github.com/gorhill/uBlock#readme
๐ Statistics:
๐ Stars: 63.9k
๐ Watchers: 1k
๐ด Forks: 4.1k
๐ป Programming Languages: JavaScript - CSS - HTML - WebAssembly - Shell - Makefile - Python
๐ท๏ธ Related Topics:
#javascript #firefox #chromium #ublock_origin #browser_extension #blocker #ublock
==================================
๐ง By: https://t.me/DataScienceM
๐ฅ Trending Repository: ghostty
๐ Description: ๐ป Ghostty is a fast, feature-rich, and cross-platform terminal emulator that uses platform-native UI and GPU acceleration.
๐ Repository URL: https://github.com/ghostty-org/ghostty
๐ Website: https://ghostty.org
๐ Readme: https://github.com/ghostty-org/ghostty#readme
๐ Statistics:
๐ Stars: 52.5k
๐ Watchers: 197
๐ด Forks: 2.5k
๐ป Programming Languages: Zig - Swift - C - C++ - Shell - HTML
๐ท๏ธ Related Topics: Not available
==================================
๐ง By: https://t.me/DataScienceM
๐ Description: ๐ป Ghostty is a fast, feature-rich, and cross-platform terminal emulator that uses platform-native UI and GPU acceleration.
๐ Repository URL: https://github.com/ghostty-org/ghostty
๐ Website: https://ghostty.org
๐ Readme: https://github.com/ghostty-org/ghostty#readme
๐ Statistics:
๐ Stars: 52.5k
๐ Watchers: 197
๐ด Forks: 2.5k
๐ป Programming Languages: Zig - Swift - C - C++ - Shell - HTML
๐ท๏ธ Related Topics: Not available
==================================
๐ง By: https://t.me/DataScienceM
โค1
๐ฅ Trending Repository: open-source-cs
๐ Description: Video discussing this curriculum:
๐ Repository URL: https://github.com/ForrestKnight/open-source-cs
๐ Website: https://youtu.be/NyOvFSP_IpQ
๐ Readme: https://github.com/ForrestKnight/open-source-cs#readme
๐ Statistics:
๐ Stars: 22.2k
๐ Watchers: 1k
๐ด Forks: 3.2k
๐ป Programming Languages: Not available
๐ท๏ธ Related Topics:
==================================
๐ง By: https://t.me/DataScienceM
๐ Description: Video discussing this curriculum:
๐ Repository URL: https://github.com/ForrestKnight/open-source-cs
๐ Website: https://youtu.be/NyOvFSP_IpQ
๐ Readme: https://github.com/ForrestKnight/open-source-cs#readme
๐ Statistics:
๐ Stars: 22.2k
๐ Watchers: 1k
๐ด Forks: 3.2k
๐ป Programming Languages: Not available
๐ท๏ธ Related Topics:
#computer_science
==================================
๐ง By: https://t.me/DataScienceM
โค1
๐ฅ Trending Repository: skills
๐ Description: Claude Agent SDK with a web browsing tool
๐ Repository URL: https://github.com/browserbase/skills
๐ Readme: https://github.com/browserbase/skills#readme
๐ Statistics:
๐ Stars: 649
๐ Watchers: 4
๐ด Forks: 54
๐ป Programming Languages: JavaScript - HTML
๐ท๏ธ Related Topics: Not available
==================================
๐ง By: https://t.me/DataScienceM
๐ Description: Claude Agent SDK with a web browsing tool
๐ Repository URL: https://github.com/browserbase/skills
๐ Readme: https://github.com/browserbase/skills#readme
๐ Statistics:
๐ Stars: 649
๐ Watchers: 4
๐ด Forks: 54
๐ป Programming Languages: JavaScript - HTML
๐ท๏ธ Related Topics: Not available
==================================
๐ง By: https://t.me/DataScienceM
โค1
Forwarded from Machine Learning with Python
๐ก Level Up Your IT Career in 2026 โ For FREE
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โข IT Exams Skill Test
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๐ฅ Trending Repository: ShareX
๐ Description: ShareX is a free and open-source application that enables users to capture or record any area of their screen with a single keystroke. It also supports uploading images, text, and various file types to a wide range of destinations.
๐ Repository URL: https://github.com/ShareX/ShareX
๐ Website: https://getsharex.com
๐ Readme: https://github.com/ShareX/ShareX#readme
๐ Statistics:
๐ Stars: 36.5k
๐ Watchers: 539
๐ด Forks: 3.7k
๐ป Programming Languages: C# - HTML
๐ท๏ธ Related Topics:
==================================
๐ง By: https://t.me/DataScienceM
๐ Description: ShareX is a free and open-source application that enables users to capture or record any area of their screen with a single keystroke. It also supports uploading images, text, and various file types to a wide range of destinations.
๐ Repository URL: https://github.com/ShareX/ShareX
๐ Website: https://getsharex.com
๐ Readme: https://github.com/ShareX/ShareX#readme
๐ Statistics:
๐ Stars: 36.5k
๐ Watchers: 539
๐ด Forks: 3.7k
๐ป Programming Languages: C# - HTML
๐ท๏ธ Related Topics:
#productivity #screenshot #share #ocr #csharp #image_annotation #dropbox #color_picker #ftp #file_upload #file_sharing #url_shortener #screen_recorder #gif #avalonia #capture #screen_capture #region_capture #gif_recorder #sharex
==================================
๐ง By: https://t.me/DataScienceM
โค2
๐ฅ Trending Repository: DeepSeek-TUI
๐ Description: Coding agent for DeepSeek models that runs in your terminal
๐ Repository URL: https://github.com/Hmbown/DeepSeek-TUI
๐ Readme: https://github.com/Hmbown/DeepSeek-TUI#readme
๐ Statistics:
๐ Stars: 1.8k
๐ Watchers: 6
๐ด Forks: 99
๐ป Programming Languages: Rust
๐ท๏ธ Related Topics:
==================================
๐ง By: https://t.me/DataScienceM
๐ Description: Coding agent for DeepSeek models that runs in your terminal
๐ Repository URL: https://github.com/Hmbown/DeepSeek-TUI
๐ Readme: https://github.com/Hmbown/DeepSeek-TUI#readme
๐ Statistics:
๐ Stars: 1.8k
๐ Watchers: 6
๐ด Forks: 99
๐ป Programming Languages: Rust
๐ท๏ธ Related Topics:
#rust #cli #terminal #tui #llm #deepseek
==================================
๐ง By: https://t.me/DataScienceM
โค1
Crazy people implemented MicroGPT by Andrej Karpathy entirely in FPGA logic. ๐ง โก
Without a graphics processor. ๐ซ๐บ
Without PyTorch. ๐โ
Without inference loops on the central processor. ๐ซ๐
Just a transformer, "embedded" in the hardware, generating 50,000+ tokens per second. โก๐
The model is small, but that's not the point: inference doesn't have to exist only in a software environment. ๐พโก๏ธ๐
The goal wasn't to create the largest possible model. ๐
The goal was to present the entire inference path of the transformer in a form readable for hardware: memory, counters, state machines, accumulators, lookup tables, and multi-cycle arithmetic blocks. โ๏ธ๐ง
The basic scheme uses fixed Q4.12 arithmetic and weights stored in ROM. ๐๐ข
Most of the model boils down to one repetitive operation: matrix-vector multiplication. ๐งฎ Therefore, a reusable 16-channel stream block for matrix-vector calculations was implemented, and then it was temporarily multiplexed to Q/K/V, MLP, and the output layer of the language model. ๐๐งฉ
The most interesting thing turned out to be the attention mechanism. ๐งโจ
In Python, it's a single neat equation. ๐โ
In RTL, it turns into a schedule: generating Q/K/V, going through scalar products, tracking the maximum, approximating the exponential, accumulating, dividing, mixing V, and then reverse projection. ๐ ๐
https://github.com/Luthiraa/TALOS-V2 ๐๐ ๏ธ
https://t.me/DataScienceN
Without a graphics processor. ๐ซ๐บ
Without PyTorch. ๐โ
Without inference loops on the central processor. ๐ซ๐
Just a transformer, "embedded" in the hardware, generating 50,000+ tokens per second. โก๐
The model is small, but that's not the point: inference doesn't have to exist only in a software environment. ๐พโก๏ธ๐
The goal wasn't to create the largest possible model. ๐
The goal was to present the entire inference path of the transformer in a form readable for hardware: memory, counters, state machines, accumulators, lookup tables, and multi-cycle arithmetic blocks. โ๏ธ๐ง
The basic scheme uses fixed Q4.12 arithmetic and weights stored in ROM. ๐๐ข
Most of the model boils down to one repetitive operation: matrix-vector multiplication. ๐งฎ Therefore, a reusable 16-channel stream block for matrix-vector calculations was implemented, and then it was temporarily multiplexed to Q/K/V, MLP, and the output layer of the language model. ๐๐งฉ
The most interesting thing turned out to be the attention mechanism. ๐งโจ
In Python, it's a single neat equation. ๐โ
In RTL, it turns into a schedule: generating Q/K/V, going through scalar products, tracking the maximum, approximating the exponential, accumulating, dividing, mixing V, and then reverse projection. ๐ ๐
https://github.com/Luthiraa/TALOS-V2 ๐๐ ๏ธ
https://t.me/DataScienceN
โค1
๐ฅ Trending Repository: docuseal
๐ Description: Open source DocuSign alternative. Create, fill, and sign digital documents โ๏ธ
๐ Repository URL: https://github.com/docusealco/docuseal
๐ Website: https://www.docuseal.com
๐ Readme: https://github.com/docusealco/docuseal#readme
๐ Statistics:
๐ Stars: 12.7k
๐ Watchers: 51
๐ด Forks: 1.2k
๐ป Programming Languages: Ruby - Vue - HTML - JavaScript - Dockerfile - SCSS
๐ท๏ธ Related Topics:
==================================
๐ง By: https://t.me/DataScienceM
๐ Description: Open source DocuSign alternative. Create, fill, and sign digital documents โ๏ธ
๐ Repository URL: https://github.com/docusealco/docuseal
๐ Website: https://www.docuseal.com
๐ Readme: https://github.com/docusealco/docuseal#readme
๐ Statistics:
๐ Stars: 12.7k
๐ Watchers: 51
๐ด Forks: 1.2k
๐ป Programming Languages: Ruby - Vue - HTML - JavaScript - Dockerfile - SCSS
๐ท๏ธ Related Topics:
#open_source #pdf #webpack #vue #self_hosted #e_signature #documents #ruby_on_rails #tailwindcss #pdf_signature #pdf_sign #document_signing #hotwired_turbo
==================================
๐ง By: https://t.me/DataScienceM
โค2
Github Top Repositories
Photo
๐ ruvnet/ruflo caught my eye on GitHub Trending today.
๐ https://github.com/ruvnet/ruflo
๐ ๐ The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, self-learning swarm intelligence, RAG integration, and native Claude Code / Codex Integration
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Ruflo is a multi-agent AI orchestration platform that adds coordinated swarms, self-learning memory, federated comms, and enterprise security to Claude Code. It enables 100+ specialized AI agents to collaborate across machines, teams, and trust boundaries. With
The key features of Ruflo include:
* Swarm Coordination: Hierarchical, mesh, and adaptive topologies with consensus
* Self-Learning: SONA neural patterns, ReasoningBank, and trajectory learning
* Vector Memory: HNSW-indexed AgentDB with faster search
* Plugin Marketplace: 32 native Claude Code plugins and 21 npm plugins
* Multi-Provider: Claude, GPT, Gemini, Cohere, Ollama with smart routing
To get started, you can install Ruflo as a native Claude Code plugin or use the CLI install method. The plugin marketplace offers a wide range of plugins, including core and orchestration, memory and knowledge, intelligence and learning, and security and compliance.
Ruflo also features a Web UI (Beta) that is self-hostable and offers a hosted demo at flo.ruv.io. The web UI allows for multi-model AI chat with built-in Model Context Protocol (MCP) tool calling, persistent vector memory, and swarm coordination.
Additionally, Ruflo has a Goal Planner UI at goal.ruv.io that enables autonomous agents to turn high-level goals into executable plans.
Overall, Ruflo is a powerful platform that enables the coordination of multiple AI agents to achieve complex tasks, making it an exciting tool for anyone interested in AI and machine learning. With its ease of use and extensive features, Ruflo is a game-changer in the world of AI orchestration. Ruflo is the future of AI collaboration.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง Channel: https://t.me/GithubRe
๐ https://github.com/ruvnet/ruflo
๐ ๐ The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, self-learning swarm intelligence, RAG integration, and native Claude Code / Codex Integration
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Ruflo is a multi-agent AI orchestration platform that adds coordinated swarms, self-learning memory, federated comms, and enterprise security to Claude Code. It enables 100+ specialized AI agents to collaborate across machines, teams, and trust boundaries. With
init, Ruflo gives Claude Code a nervous system, allowing agents to self-organize into swarms, learn from every task, and remember across sessions.The key features of Ruflo include:
* Swarm Coordination: Hierarchical, mesh, and adaptive topologies with consensus
* Self-Learning: SONA neural patterns, ReasoningBank, and trajectory learning
* Vector Memory: HNSW-indexed AgentDB with faster search
* Plugin Marketplace: 32 native Claude Code plugins and 21 npm plugins
* Multi-Provider: Claude, GPT, Gemini, Cohere, Ollama with smart routing
To get started, you can install Ruflo as a native Claude Code plugin or use the CLI install method. The plugin marketplace offers a wide range of plugins, including core and orchestration, memory and knowledge, intelligence and learning, and security and compliance.
Ruflo also features a Web UI (Beta) that is self-hostable and offers a hosted demo at flo.ruv.io. The web UI allows for multi-model AI chat with built-in Model Context Protocol (MCP) tool calling, persistent vector memory, and swarm coordination.
Additionally, Ruflo has a Goal Planner UI at goal.ruv.io that enables autonomous agents to turn high-level goals into executable plans.
Overall, Ruflo is a powerful platform that enables the coordination of multiple AI agents to achieve complex tasks, making it an exciting tool for anyone interested in AI and machine learning. With its ease of use and extensive features, Ruflo is a game-changer in the world of AI orchestration. Ruflo is the future of AI collaboration.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง Channel: https://t.me/GithubRe
