A simple, performant and scalable JAX-based world modeling codebase.
☆155Jan 15, 2026Updated 6 months ago
Alternatives and similar repositories for jasmine
Users that are interested in jasmine are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- JAX reimplementation of the DeepMind paper "Genie: Generative Interactive Environments"☆107Jan 23, 2025Updated last year
- Dreamer 4 jax implementation☆100Nov 28, 2025Updated 7 months ago
- Accelerated minigrid environments with JAX☆175Oct 20, 2025Updated 9 months ago
- Official Implementation of `An Optimisation Framework for Unsupervised Environment Design` from RLC 2025☆17Nov 24, 2025Updated 8 months ago
- Online Goal-Conditioned Reinforcement Learning in JAX. ICLR 2025 Spotlight.☆273Jun 6, 2026Updated last month
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆98Jan 21, 2026Updated 6 months ago
- A jax-native environment interface☆17Updated this week
- Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!☆274Jun 10, 2026Updated last month
- Unified Implementations of Offline Reinforcement Learning Algorithms☆224Dec 19, 2025Updated 7 months ago
- ⚡ Flashbax: Accelerated Replay Buffers in JAX☆279Sep 22, 2025Updated 10 months ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆242Nov 24, 2025Updated 8 months ago
- [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.☆25Apr 19, 2024Updated 2 years ago
- Simple JAX Graphics Library.☆38Nov 3, 2024Updated last year
- Probabilistic inference for models of behaviour☆13Mar 5, 2026Updated 4 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Efficient baselines for autocurricula in JAX.☆214Aug 24, 2024Updated last year
- Reinforcement learning on general 2D physics environments in JAX. ICLR 2025 Oral.☆262May 21, 2026Updated 2 months ago
- Flax Implementation of DreamerV3 on Crafter☆18Nov 29, 2025Updated 7 months ago
- (Crafter + NetHack) in JAX. ICML 2024 Spotlight.☆426Jun 20, 2026Updated last month
- 🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL☆416Mar 18, 2026Updated 4 months ago
- GCRL in JAX. Official repository for LEO (ICML 2026).☆28Jun 20, 2026Updated last month
- ☆96Feb 16, 2026Updated 5 months ago
- A dataloader, but for JAX☆20May 17, 2024Updated 2 years ago
- Clean single-file implementation of offline RL algorithms in JAX☆182Jun 5, 2026Updated last month
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code for PuzzleJAX, a benchmark for reasoning and learning, that reimplements PuzzleScript, a concise and expressive DSL and game engine …☆29Jun 30, 2026Updated 3 weeks ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆56May 21, 2023Updated 3 years ago
- Official implementation for "How Should We Meta-Learn Reinforcement Learning Algorithms?"☆23Sep 7, 2025Updated 10 months ago
- ☆28Jun 16, 2026Updated last month
- Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"☆31Dec 15, 2025Updated 7 months ago
- ☆10Jun 27, 2024Updated 2 years ago
- ☆58Jan 20, 2023Updated 3 years ago
- 🕹️ A diverse suite of scalable reinforcement learning environments in JAX☆854Jun 18, 2026Updated last month
- XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning - - — ICLR 2025☆84Feb 13, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning☆17Oct 23, 2022Updated 3 years ago
- A zero-to-one guide on scaling modern transformers with n-dimensional parallelism.☆127Dec 29, 2025Updated 6 months ago
- Library for reading and processing ML training data.☆754Updated this week
- JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️☆342Dec 16, 2025Updated 7 months ago
- Code for the ICLR 2024 spotlight paper: "Learning to Act without Actions" (introducing Latent Action Policies)☆144Jul 31, 2024Updated last year
- Minimalistic, hackable PyTorch implementation of SimSiam in ~400 lines. Achieves good performance on ImageNet with ResNet50. Features dis…☆22Nov 25, 2024Updated last year
- POPGym Library in JAX☆14Apr 15, 2024Updated 2 years ago