TranslatedThe pytorch handbook is an open-source book that aims to help friends who want to use PyTorch for deep learning development and research get started quickly. All of the PyTorch tutorials it contains have been tested to ensure they run successfully.
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Drag and Drop for React
A High-Quality Real Time Upscaler for Anime Video
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
WordPress, Git-ified. This repository is just a mirror of the WordPress subversion repository. Please do not send pull requests. Submit pull requests to https://github.com/WordPress/wordpress-develop and patches to https://core.trac.wordpress.org/ instead.
Parse Server for Node.js / Express
Get Android app updates straight from the source.
Generate audiobooks from e-books, 50+ TTS engines with voice cloning and 1696 languages!
Interactive Data Visualization in the browser, from Python
- bokeh
- python
- interactive-plots
- javascript
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
⚡️⚡️⚡️ Self-hosted collaborative bookmark manager to collect, read, annotate, and fully preserve what matters, all in one place.
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
Unofficial Python API and agentic skill for Google Gemini Notebook. Full programmatic access to Gemini Notebook's features—including capabilities the web UI doesn't expose—via Python, CLI, and AI agents like Claude Code, Codex, and OpenClaw.
- python
- sdk
- skills
- google-notebooklm
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Translate the video from one language to another and embed dubbing & subtitles.
TranslatedCode implementation of 《统计学习方法》 (Statistical Learning Methods)
TranslatedThis project changes the MXNet implementations in the original book 《动手学深度学习》 (Dive into Deep Learning) into PyTorch implementations.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
One has no future if one couldn't teach themself.
ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files.
The free and privacy-friendly screen recorder with no limits 🎥
- screen-capture
- screencast
- recorder
- annotation
Instruct-tune LLaMA on consumer hardware