Alternatives and similar repositories for metax:

Users that are interested in metax are comparing it to the libraries listed below

• brentyi / minGPT-flax
  GPT implementation in Flax
  ☆18Updated 3 years ago
• hr0nix / dejax
  Accelerated replay buffers in JAX
  ☆41Updated 2 years ago
• yixiaoer / mistral-jax
  JAX implementation of the Mistral 7b v0.1 model
  ☆13Updated last year
• tristandeleu / jax-meta-learning
  A collection of meta-learning algorithms in Jax
  ☆23Updated 2 years ago
• ran-weii / cleanil
  High quality implementations of imitation and inverse reinforcement learning algorithms
  ☆15Updated last month
• keraJLi / synthetic-gymnax
  Drop-in environment replacements that make your RL algorithm train faster.
  ☆20Updated 10 months ago
• Hwhitetooth / jax_muzero
  An implementation of MuZero in JAX.
  ☆56Updated 2 years ago
• FLAIROx / cultural-accumulation
  ☆13Updated 9 months ago
• quasimetric-learning / torch-quasimetric
  PyTorch Package For Quasimetric Learning
  ☆42Updated 6 months ago
• danijar / crafter-baselines
  Docker containers of baseline agents for the Crafter environment
  ☆28Updated 3 years ago
• lili-chen / SEER
  Official codebase for Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.
  ☆21Updated 4 years ago
• luchris429 / discovered-policy-optimisation
  Code for Discovered Policy Optimisation (NeurIPS 2022)
  ☆10Updated last year
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 2 years ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 3 years ago
• bmazoure / ppo_jax
  Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…
  ☆54Updated 2 years ago
• danijar / ninjax
  General Modules for JAX
  ☆64Updated last month
• instadeepai / fastpbrl
  Vectorization techniques for fast population-based training.
  ☆56Updated 2 years ago
• instadeepai / outer-value-function-meta-rl
  Code of the paper: Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function
  ☆13Updated 2 years ago
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆28Updated 2 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated 9 months ago
• chamorajg / pl-dreamer
  Simplistic Pytorch Implementation of the Dreamer-RL
  ☆21Updated this week
• amacrutherford / sampling-for-learnability
  Official codebase for "Sampling For Learnability", published at NeurIPS 2024
  ☆13Updated 2 months ago
• ucl-dark / pax
  Scalable Opponent Shaping Experiments in JAX
  ☆24Updated last year
• radarFudan / mamba-minimal-jax
  ☆30Updated 5 months ago
• google-deepmind / csuite
  ☆44Updated 7 months ago
• google-deepmind / nao_top10
  ☆18Updated 2 years ago
• neuroevobench / neuroevobench
  Neuroevolution Benchmark in JAX 🦕
  ☆38Updated last year
• louiskirsch / vsml-neurips2021
  Code for "Meta Learning Backpropagation And Improving It" @ NeurIPS 2021 https://arxiv.org/abs/2012.14905
  ☆31Updated 3 years ago
• epignatelli / discovering-reinforcement-learning-algorithms
  A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…
  ☆21Updated 4 years ago
• EmptyJackson / groove
  Official implementation of the NeurIPS 2023 paper "Discovering General Reinforcement Learning Algorithms with Adversarial Environment Des…
  ☆26Updated 10 months ago