🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Deep Learning for humans

scikit-learn: machine learning in Python

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

The world's simplest facial recognition api for Python and the command line

Deepfakes Software For All

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

DeepFaceLab is the leading software for creating deepfakes.

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Streamlit — A faster way to build and share data apps.

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

💫 Industrial-strength Natural Language Processing (NLP) in Python

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, AWS, and various command lines.

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

Investment Research for Everyone, Everywhere.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.