Stars
AI-powered Markdown note taking app - leverage vector embeddings and LLMs with your personal notes - 100% local or in the cloud
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
🔥🕷️ Crawl4AI: Open-source LLM Friendly Web Crawler & Scrapper
A multi-agent reinforcement learning environment to design and benchmark control strategies aimed at reducing drag in turbulent open channel flow
Hunt down social media accounts by username across social networks
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
ALIEN is a CUDA-powered artificial life simulation program.
Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python
OCR, layout analysis, reading order, table recognition in 90+ languages
Vizro is a toolkit for creating modular data visualization applications.
Machine Learning Engineering Open Book
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Dara is a dynamic application framework designed for creating interactive web apps with ease, all in pure Python.
A collection of libraries to optimise AI model performances
higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
VisualHFT is a cutting-edge GUI platform for market analysis, focusing on real-time visualization of market microstructure. Built with WPF & C#, it displays key metrics like Limit Order Book dynami…
Learn database internals by implementing it from scratch.
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
A new markup-based typesetting system that is powerful and easy to learn.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
a programming library with geometric algorithms
Source code for Twitter's Recommendation Algorithm
A high-performance, zero-overhead, extensible Python compiler using LLVM
A playbook for systematically maximizing the performance of deep learning models.