higgsfield-ai / higgsfieldLinks
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
☆3,441Updated last year
Alternatives and similar repositories for higgsfield
Users that are interested in higgsfield are comparing it to the libraries listed below
Sorting:
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,119Updated 3 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,322Updated last year
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,808Updated 3 years ago
- Reinforcement Learning in PyTorch☆2,266Updated 4 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,297Updated 2 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,988Updated 2 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,637Updated 3 years ago
- Collection of reinforcement learning algorithms☆2,732Updated last year
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,079Updated 4 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,291Updated 5 months ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,315Updated last year
- Minimal and Clean Reinforcement Learning Examples☆3,561Updated 2 years ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,350Updated 2 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,747Updated 2 years ago
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,036Updated 2 years ago
- For deep RL and the future of AI.☆1,475Updated last year
- A toolkit for reproducible reinforcement learning research.☆2,003Updated 2 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,970Updated 2 months ago
- Assignments for CS294-112.☆1,604Updated 2 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,282Updated 5 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,183Updated 2 years ago
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,254Updated 6 years ago
- Repo for the Deep Reinforcement Learning Nanodegree program☆5,081Updated last year
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,864Updated last year
- Simple and easily configurable grid world environments for reinforcement learning☆2,287Updated last month
- TensorFlow Reinforcement Learning☆3,133Updated 2 years ago
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,609Updated last year
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,112Updated 7 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,445Updated 2 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,233Updated 4 years ago