Stars
An opinionated list of awesome Python frameworks, libraries, software and resources.
Stable Diffusion web UI
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Models and examples built with TensorFlow
Scrapy, a fast high-level web crawling & scraping framework for Python.
real time face swap and one-click video deepfake with only a single image
A collection of design patterns/idioms in Python
TensorFlow code and pre-trained models for BERT
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Instant voice cloning by MIT and MyShell.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Write scalable load tests in plain Python 🚗💨
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Code for the paper "Language Models are Unsupervised Multitask Learners"
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Data Apps & Dashboards for Python. No JavaScript Required.
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Magenta: Music and Art Generation with Machine Intelligence
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data…
Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Code samples for my book "Neural Networks and Deep Learning"