- London, UK
- @VittorioLaBarb2
Highlights
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The simplest, fastest repository for training/finetuning medium-sized GPTs.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Convert Machine Learning Code Between Frameworks
Open source code for AlphaFold 2.
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
An elegant PyTorch deep reinforcement learning library.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…
A library of reinforcement learning components and agents
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
A high-performance distributed training framework for Reinforcement Learning
Modularized Implementation of Deep RL Algorithms in PyTorch
Python library for loading and using triangular meshes.
torch-optimizer -- collection of optimizers for Pytorch
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
pytorch structural similarity (SSIM) loss
Author's PyTorch implementation of TD3 for OpenAI gym tasks
A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.