Stars
📚 Freely available programming books
A high-throughput and memory-efficient inference and serving engine for LLMs
The Python micro framework for building web applications.
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
Scrapy, a fast high-level web crawling & scraping framework for Python.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Get your documents ready for gen AI
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
The original local LLM interface. Text, vision, tool-calling, training, and more. 100% offline.
Streamlit — A faster way to build and share data apps.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Official inference framework for 1-bit LLMs
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
🦔 PostHog is an all-in-one developer platform for building successful products. We offer product analytics, web analytics, session replay, error tracking, feature flags, experimentation, surveys, d…
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
🤗 smolagents: a barebones library for agents that think in code.
Fully open reproduction of DeepSeek-R1
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
An open-source RAG-based tool for chatting with your documents.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while control…
Code for the paper "Language Models are Unsupervised Multitask Learners"
Fast and memory-efficient exact attention
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
verl: Volcano Engine Reinforcement Learning for LLMs
Zipline, a Pythonic Algorithmic Trading Library
Janus-Series: Unified Multimodal Understanding and Generation Models
newspaper3k is a news, full-text, and article metadata extraction in Python 3. Advanced docs: