Forwarded from Machine Learning with Python
SVFR — a full-fledged framework for restoring faces in videos.
It can:
Essentially, the model takes old or damaged videos and makes them "as if they were shot yesterday". And it's free and open-source.
1. Create an environment
conda create -n svfr python=3.9 -y
conda activate svfr
2. Install PyTorch (for your CUDA)
pip install torch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2
3. Install dependencies
pip install -r requirements.txt
4. Download models
conda install git-lfs
git lfs install
git clone https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt models/stable-video-diffusion-img2vid-xt
5. Start processing videos
python infer.py \
--config config/infer.yaml \
--task_ids 0 \
--input_path input.mp4 \
--output_dir results/ \
--crop_face_region
Where task_ids:
*
0 — face enhancement*
1 — colorization*
2 — redrawing damageAn ideal tool if:
#python #soft #github
https://t.me/CodeProgrammer
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🔥 Trending Repository: editor
📝 Description: No description available
🔗 Repository URL: https://github.com/pascalorg/editor
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📝 Description: AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
🔗 Repository URL: https://github.com/mvanhorn/last30days-skill
📖 Readme: https://github.com/mvanhorn/last30days-skill#readme
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==================================
🧠 By: https://t.me/DataScienceM
📝 Description: AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
🔗 Repository URL: https://github.com/mvanhorn/last30days-skill
📖 Readme: https://github.com/mvanhorn/last30days-skill#readme
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📝 Description: Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM]
🔗 Repository URL: https://github.com/BerriAI/litellm
🌐 Website: https://docs.litellm.ai/docs/
📖 Readme: https://github.com/BerriAI/litellm#readme
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💻 Programming Languages: Python - TypeScript - HTML - JavaScript - Shell - Makefile
🏷️ Related Topics:
==================================
🧠 By: https://t.me/DataScienceM
📝 Description: Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM]
🔗 Repository URL: https://github.com/BerriAI/litellm
🌐 Website: https://docs.litellm.ai/docs/
📖 Readme: https://github.com/BerriAI/litellm#readme
📊 Statistics:
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🍴 Forks: 6.7k
💻 Programming Languages: Python - TypeScript - HTML - JavaScript - Shell - Makefile
🏷️ Related Topics:
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==================================
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📝 Description: Give Claude Code a subconscious
🔗 Repository URL: https://github.com/letta-ai/claude-subconscious
📖 Readme: https://github.com/letta-ai/claude-subconscious#readme
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📝 Description: Give Claude Code a subconscious
🔗 Repository URL: https://github.com/letta-ai/claude-subconscious
📖 Readme: https://github.com/letta-ai/claude-subconscious#readme
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📝 Description: Teams-first Multi-agent orchestration for Claude Code
🔗 Repository URL: https://github.com/Yeachan-Heo/oh-my-claudecode
🌐 Website: https://yeachan-heo.github.io/oh-my-claudecode-website
📖 Readme: https://github.com/Yeachan-Heo/oh-my-claudecode#readme
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💻 Programming Languages: TypeScript - JavaScript
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==================================
🧠 By: https://t.me/DataScienceM
📝 Description: Teams-first Multi-agent orchestration for Claude Code
🔗 Repository URL: https://github.com/Yeachan-Heo/oh-my-claudecode
🌐 Website: https://yeachan-heo.github.io/oh-my-claudecode-website
📖 Readme: https://github.com/Yeachan-Heo/oh-my-claudecode#readme
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🔥 Trending Repository: insanely-fast-whisper
📝 Description: No description available
🔗 Repository URL: https://github.com/Vaibhavs10/insanely-fast-whisper
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💻 Programming Languages: Jupyter Notebook - Python
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📝 Description: No description available
🔗 Repository URL: https://github.com/Vaibhavs10/insanely-fast-whisper
📖 Readme: https://github.com/Vaibhavs10/insanely-fast-whisper#readme
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💻 Programming Languages: Jupyter Notebook - Python
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🔥 Trending Repository: chandra
📝 Description: OCR model that handles complex tables, forms, handwriting with full layout.
🔗 Repository URL: https://github.com/datalab-to/chandra
🌐 Website: https://www.datalab.to
📖 Readme: https://github.com/datalab-to/chandra#readme
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💻 Programming Languages: Python - HTML
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==================================
🧠 By: https://t.me/DataScienceM
📝 Description: OCR model that handles complex tables, forms, handwriting with full layout.
🔗 Repository URL: https://github.com/datalab-to/chandra
🌐 Website: https://www.datalab.to
📖 Readme: https://github.com/datalab-to/chandra#readme
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==================================
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📝 Description: A guide on how to use the Figma MCP server
🔗 Repository URL: https://github.com/figma/mcp-server-guide
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==================================
🧠 By: https://t.me/DataScienceM
📝 Description: A guide on how to use the Figma MCP server
🔗 Repository URL: https://github.com/figma/mcp-server-guide
🌐 Website: https://help.figma.com/hc/en-us/articles/32132100833559-Guide-to-the-Dev-Mode-MCP-Server
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==================================
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📝 Description: The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
🔗 Repository URL: https://github.com/SakanaAI/AI-Scientist-v2
📖 Readme: https://github.com/SakanaAI/AI-Scientist-v2#readme
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🍴 Forks: 459
💻 Programming Languages: Python - TeX - BibTeX Style - JavaScript - HTML
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceM
📝 Description: The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
🔗 Repository URL: https://github.com/SakanaAI/AI-Scientist-v2
📖 Readme: https://github.com/SakanaAI/AI-Scientist-v2#readme
📊 Statistics:
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💻 Programming Languages: Python - TeX - BibTeX Style - JavaScript - HTML
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🔥 Trending Repository: FreeCAD
📝 Description: Official source code of FreeCAD, a free and opensource multiplatform 3D parametric modeler.
🔗 Repository URL: https://github.com/FreeCAD/FreeCAD
🌐 Website: https://www.freecad.org
📖 Readme: https://github.com/FreeCAD/FreeCAD#readme
📊 Statistics:
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💻 Programming Languages: C++ - Python - C - CMake - NSIS - Lex
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==================================
🧠 By: https://t.me/DataScienceM
📝 Description: Official source code of FreeCAD, a free and opensource multiplatform 3D parametric modeler.
🔗 Repository URL: https://github.com/FreeCAD/FreeCAD
🌐 Website: https://www.freecad.org
📖 Readme: https://github.com/FreeCAD/FreeCAD#readme
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💻 Programming Languages: C++ - Python - C - CMake - NSIS - Lex
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==================================
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📝 Description: A maintained, feature-rich and performance oriented, neofetch like system information tool.
🔗 Repository URL: https://github.com/fastfetch-cli/fastfetch
📖 Readme: https://github.com/fastfetch-cli/fastfetch#readme
📊 Statistics:
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🍴 Forks: 710
💻 Programming Languages: C - CMake - C++ - Objective-C
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==================================
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📝 Description: A maintained, feature-rich and performance oriented, neofetch like system information tool.
🔗 Repository URL: https://github.com/fastfetch-cli/fastfetch
📖 Readme: https://github.com/fastfetch-cli/fastfetch#readme
📊 Statistics:
🌟 Stars: 21k
👀 Watchers: 54
🍴 Forks: 710
💻 Programming Languages: C - CMake - C++ - Objective-C
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==================================
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📝 Description: A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
🔗 Repository URL: https://github.com/luongnv89/claude-howto
📖 Readme: https://github.com/luongnv89/claude-howto#readme
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🧠 By: https://t.me/DataScienceM
📝 Description: A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
🔗 Repository URL: https://github.com/luongnv89/claude-howto
📖 Readme: https://github.com/luongnv89/claude-howto#readme
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==================================
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🔥 Trending Repository: freeCodeCamp
📝 Description: freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.
🔗 Repository URL: https://github.com/freeCodeCamp/freeCodeCamp
🌐 Website: https://contribute.freecodecamp.org
📖 Readme: https://github.com/freeCodeCamp/freeCodeCamp#readme
📊 Statistics:
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🍴 Forks: 43.9k
💻 Programming Languages: TypeScript - JavaScript - CSS - Dockerfile - HCL - Shell
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📝 Description: freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.
🔗 Repository URL: https://github.com/freeCodeCamp/freeCodeCamp
🌐 Website: https://contribute.freecodecamp.org
📖 Readme: https://github.com/freeCodeCamp/freeCodeCamp#readme
📊 Statistics:
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👀 Watchers: 8.5k
🍴 Forks: 43.9k
💻 Programming Languages: TypeScript - JavaScript - CSS - Dockerfile - HCL - Shell
🏷️ Related Topics:
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🔥 Trending Repository: sherlock
📝 Description: Hunt down social media accounts by username across social networks
🔗 Repository URL: https://github.com/sherlock-project/sherlock
🌐 Website: https://sherlockproject.xyz
📖 Readme: https://github.com/sherlock-project/sherlock#readme
📊 Statistics:
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🍴 Forks: 8.8k
💻 Programming Languages: Python - Dockerfile - Shell
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🧠 By: https://t.me/DataScienceM
📝 Description: Hunt down social media accounts by username across social networks
🔗 Repository URL: https://github.com/sherlock-project/sherlock
🌐 Website: https://sherlockproject.xyz
📖 Readme: https://github.com/sherlock-project/sherlock#readme
📊 Statistics:
🌟 Stars: 74.3k
👀 Watchers: 1.2k
🍴 Forks: 8.8k
💻 Programming Languages: Python - Dockerfile - Shell
🏷️ Related Topics:
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==================================
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💾 llmfit — a tool that selects an LLM for your hardware
You run one command — it reads the RAM, CPU, GPU and shows which of the nearly 500 models will run normally for you, and which ones will freeze completely.
Under the hood — a smart scoring system: models are ranked by four parameters at once: quality, speed, memory usage, and context length.
⛓️ Link to GitHub
https://github.com/AlexsJones/llmfit
tags: #llm #Ml
➡ https://t.me/DataScienceN
You run one command — it reads the RAM, CPU, GPU and shows which of the nearly 500 models will run normally for you, and which ones will freeze completely.
Under the hood — a smart scoring system: models are ranked by four parameters at once: quality, speed, memory usage, and context length.
⛓️ Link to GitHub
https://github.com/AlexsJones/llmfit
tags: #llm #Ml
➡ https://t.me/DataScienceN
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📝 Description: My Codex Skills
🔗 Repository URL: https://github.com/Dimillian/Skills
📖 Readme: https://github.com/Dimillian/Skills#readme
📊 Statistics:
🌟 Stars: 2.6k
👀 Watchers: 31
🍴 Forks: 141
💻 Programming Languages: Shell - Python - Swift
🏷️ Related Topics: Not available
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📝 Description: My Codex Skills
🔗 Repository URL: https://github.com/Dimillian/Skills
📖 Readme: https://github.com/Dimillian/Skills#readme
📊 Statistics:
🌟 Stars: 2.6k
👀 Watchers: 31
🍴 Forks: 141
💻 Programming Languages: Shell - Python - Swift
🏷️ Related Topics: Not available
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🔥 Trending Repository: neovim
📝 Description: Vim-fork focused on extensibility and usability
🔗 Repository URL: https://github.com/neovim/neovim
🌐 Website: https://neovim.io
📖 Readme: https://github.com/neovim/neovim#readme
📊 Statistics:
🌟 Stars: 97.7k
👀 Watchers: 966
🍴 Forks: 6.7k
💻 Programming Languages: Vim Script - Lua - C - CMake - Zig - Shell
🏷️ Related Topics:
==================================
🧠 By: https://t.me/DataScienceM
📝 Description: Vim-fork focused on extensibility and usability
🔗 Repository URL: https://github.com/neovim/neovim
🌐 Website: https://neovim.io
📖 Readme: https://github.com/neovim/neovim#readme
📊 Statistics:
🌟 Stars: 97.7k
👀 Watchers: 966
🍴 Forks: 6.7k
💻 Programming Languages: Vim Script - Lua - C - CMake - Zig - Shell
🏷️ Related Topics:
#c #vim #api #lua #neovim #nvim #text_editor
==================================
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⚡️ Alibaba DAMO Academy (the laboratory that created Qwen) has open-sourced AgentScope - a Python framework for building systems from multiple AI agents.
How it differs from others:
You describe the task - the system builds the architecture itself. The planner, researcher, programmer, critic - each agent receives its own tools, memory, and reasoning logic.
They work in tandem and return the finished result.
What's included out of the box:
• A visual agent constructor, you design the system before writing code
• Support for MCP tools - you can directly connect any external services
• Built-in memory - agents remember the context, decisions, and history between sessions
• RAG pipeline - you can connect your documents and knowledge bases
• Reasoning modules - agents plan, reflect, and correct errors without human intervention
This is a framework where the agent is the primary unit of thinking from the very beginning of the design.
License: Apache 2.0. Completely free.
https://github.com/agentscope-ai/agentscope
How it differs from others:
You describe the task - the system builds the architecture itself. The planner, researcher, programmer, critic - each agent receives its own tools, memory, and reasoning logic.
They work in tandem and return the finished result.
What's included out of the box:
• A visual agent constructor, you design the system before writing code
• Support for MCP tools - you can directly connect any external services
• Built-in memory - agents remember the context, decisions, and history between sessions
• RAG pipeline - you can connect your documents and knowledge bases
• Reasoning modules - agents plan, reflect, and correct errors without human intervention
This is a framework where the agent is the primary unit of thinking from the very beginning of the design.
License: Apache 2.0. Completely free.
https://github.com/agentscope-ai/agentscope
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🔥 dots.ocr-1.5 — An OCR model with 3B parameters from Rednote-hilab.
SOTA for multilingual document parsing — supports almost any writing system.
📊 Elo 1089 on olmOCR-Bench and 1157 on XDocParse — higher than GLM-OCR and PaddleOCR-VL-1.5
📄 On OmniDocBench (text edit 0.031), it outperforms Qwen3-VL-235B (0.069) and Gemini 2.5 Pro (0.075)
🎨 Can generate SVG code for graphs, diagrams, and chemical formulas
🌐 Supports web page parsing, text recognition in scenes, and object counting
⚡ Works via vLLM and runs on a single GPU
🤖 Model: https://modelscope.cn/models/rednote-hilab/dots.ocr-1.5
🔗 GitHub: https://github.com/rednote-hilab/dots.ocr
🎠 Demo: https://dotsocr.xiaohongshu.com
SOTA for multilingual document parsing — supports almost any writing system.
📊 Elo 1089 on olmOCR-Bench and 1157 on XDocParse — higher than GLM-OCR and PaddleOCR-VL-1.5
📄 On OmniDocBench (text edit 0.031), it outperforms Qwen3-VL-235B (0.069) and Gemini 2.5 Pro (0.075)
🎨 Can generate SVG code for graphs, diagrams, and chemical formulas
🌐 Supports web page parsing, text recognition in scenes, and object counting
⚡ Works via vLLM and runs on a single GPU
🤖 Model: https://modelscope.cn/models/rednote-hilab/dots.ocr-1.5
🔗 GitHub: https://github.com/rednote-hilab/dots.ocr
🎠 Demo: https://dotsocr.xiaohongshu.com
❤1
Forwarded from Machine Learning with Python
Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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