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

Tensors and Dynamic neural networks in Python with strong GPU acceleration

FastAPI framework, high performance, easy to learn, fast to code, ready for production

Robust Speech Recognition via Large-Scale Weak Supervision

The Python micro framework for building web applications.

A curated list of awesome Machine Learning frameworks, libraries and software.

scikit-learn: machine learning in Python

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Inference code for Llama models

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Developer-first error tracking and performance monitoring

the only cheat sheet you need

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Investment Research for Everyone, Everywhere.

A high-throughput and memory-efficient inference and serving engine for LLMs

Certbot is EFF's tool to obtain certs from Let's Encrypt and (optionally) auto-enable HTTPS on your server. It can also act as a client for any other CA that uses the ACME protocol.

Code and documentation to train Stanford's Alpaca models, and generate the data.

⚡ A Fast, Extensible Progress Bar for Python and CLI

The fundamental package for scientific computing with Python.

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

Python logging made (stupidly) simple

Best Practices on Recommendation Systems

Open source platform for the machine learning lifecycle

Optional static typing for Python

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

State-of-the-Art Text Embeddings

Fast and memory-efficient exact attention

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.