eeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeee

Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.

Minimal yet performant LLM examples in pure JAX

Think tmux, then aim... lower

Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs

A tiling window manager for macOS based on binary space partitioning

Minimal but scalable implementation of large language models in JAX

A JAX-based simulator for autonomous driving research.

A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose

Code for conservative Q-learning

Code to support training, evaluating and interacting neural network dialog models, and training them with reinforcement learning. Code to deploy a web server which hosts the models live online is a…

Latex code for making neural networks diagrams

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

A self-extracting archiving tool for Unix systems, in 100% shell script.

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

A list of recent papers regarding deep reinforcement learning

Guided Policy Search

Allows to use React.js component as HTML element (web component)

Computation Graph Toolkit

Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…