higgsfield-ai / higgsfieldLinks
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
☆3,522Updated 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☆3,156Updated 4 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,396Updated last year
- Reinforcement Learning in PyTorch☆2,270Updated 5 years ago
- Collection of reinforcement learning algorithms☆2,843Updated last year
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,871Updated 3 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,038Updated 2 years ago
- A toolkit for reproducible reinforcement learning research.☆2,066Updated 2 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,659Updated 4 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,319Updated 3 years ago
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,125Updated 2 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,327Updated this week
- Minimal and Clean Reinforcement Learning Examples☆3,612Updated 2 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆2,003Updated 3 months ago
- Assignments for CS294-112.☆1,644Updated 2 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,193Updated 3 years ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,315Updated last year
- A Platform for Many-Agent Reinforcement Learning☆1,757Updated 3 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,082Updated 4 years ago
- For deep RL and the future of AI.☆1,501Updated last year
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,391Updated 2 years ago
- Repo for the Deep Reinforcement Learning Nanodegree program☆5,136Updated 2 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,384Updated 3 weeks ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,310Updated 6 years ago
- TensorFlow Reinforcement Learning☆3,137Updated 3 years ago
- A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)☆3,682Updated last month
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,468Updated 3 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,123Updated 8 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,267Updated 4 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,011Updated 2 years ago
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,270Updated 6 years ago