Including Hugging Face Deep learning Containers for Google Cloud

Deep Reinforcement Learning for Keras.

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

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.

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

PyTorch Agent Net: reinforcement learning toolkit for pytorch

🚀 Practical and document place for DevOps toolchain

Code for Quiet-STaR

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

A web app to generate speech in your own voice in any language you want

This simple repo shows how easy it is to deploy a Gradio Hosted interface.

The official code repository supporting the book, Grokking Artificial Intelligence Algorithms

This sample shows how to quickly get started with LlamaIndex.ai on Azure🚀

Python datetimes made easy

Statstests: a Python package that provides a complement of process and statistical tests for statsmodels statistical models.

🥑 Language focused docker images, minus the operating system.

Mastering Transformers, Second Edition, published by Packt

Interactive tutorial to build a learning Mario, for first-time RL learners

A playbook for systematically maximizing the performance of deep learning models.

Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)

Sample cloud-first application with 10 microservices showcasing Kubernetes, Istio, and gRPC.

A simple AI chat using FastAPI, Langchain and llama.cpp