higgsfield-ai / higgsfieldLinks
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
☆3,411Updated 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☆3,113Updated 3 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,317Updated last year
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,793Updated 3 years ago
- Reinforcement Learning in PyTorch☆2,267Updated 4 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,286Updated 4 months ago
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,030Updated 2 years ago
- Collection of reinforcement learning algorithms☆2,721Updated last year
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,348Updated 2 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,633Updated 3 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,981Updated 2 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,964Updated last month
- A toolkit for reproducible reinforcement learning research.☆1,997Updated 2 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,746Updated 2 years ago
- For deep RL and the future of AI.☆1,471Updated last year
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,848Updated 11 months ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,080Updated 4 years ago
- A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)☆3,638Updated last week
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,298Updated 2 years ago
- Repo for the Deep Reinforcement Learning Nanodegree program☆5,068Updated last year
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,183Updated 2 years ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,310Updated 11 months ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,273Updated 3 weeks ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,281Updated 5 years ago
- TensorFlow Reinforcement Learning☆3,135Updated 2 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,228Updated 4 years ago
- Minimal and Clean Reinforcement Learning Examples☆3,547Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,316Updated last year
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,600Updated last year
- Assignments for CS294-112.☆1,599Updated 2 years ago
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,253Updated 6 years ago