A curated list of resources for the budding unicorn data scientist

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

The Arcade Learning Environment (ALE) -- a platform for AI research.

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

Models and examples built with TensorFlow

Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.

High-Performance Serverless event and data processing platform

Database for L2 orderbook

A template for PostgreSQL High Availability with Etcd, Consul, ZooKeeper, or Kubernetes

A library that provides an embeddable, persistent key-value store for fast storage.

Scalable datastore for metrics, events, and real-time analytics

Mirror of Apache Kafka

Apache Spark - A unified analytics engine for large-scale data processing

The Open Source Feature Store for AI/ML

For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

Twitter4J is an open-sourced, mavenized and Google App Engine safe Java library for the Twitter API which is released under the Apache License 2.0.

Twitter4J is an open-source Java library for the Twitter API.