Evolution Strategies in JAX 🦎
☆778Apr 2, 2026Updated 3 months ago
Alternatives and similar repositories for evosax
Users that are interested in evosax are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆952Jun 27, 2024Updated 2 years ago
- RL Environments in JAX 🌍☆910Apr 2, 2026Updated 3 months ago
- Accelerated Quality-Diversity☆357Oct 30, 2025Updated 8 months ago
- Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!☆274Jun 10, 2026Updated last month
- Really Fast End-to-End Jax RL Implementations☆1,093Sep 9, 2024Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Neuroevolution Benchmark in JAX 🦕☆43Nov 5, 2023Updated 2 years ago
- Massively parallel rigidbody physics simulation on accelerator hardware.☆3,208Jul 9, 2026Updated 2 weeks ago
- 🕹️ A diverse suite of scalable reinforcement learning environments in JAX☆854Jun 18, 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
- Efficient baselines for autocurricula in JAX.☆214Aug 24, 2024Updated last year
- ♟️ Vectorized RL game environments in JAX☆634Mar 6, 2025Updated last year
- Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.☆1,146Jul 13, 2026Updated last week
- (Crafter + NetHack) in JAX. ICML 2024 Spotlight.☆427Jun 20, 2026Updated last month
- ☆1,434Jul 9, 2026Updated 2 weeks ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Baselines for gymnax 🤖☆78Apr 3, 2023Updated 3 years ago
- ☆644Jul 8, 2026Updated 2 weeks ago
- ☆948Updated this week
- ☆98Jan 21, 2026Updated 6 months ago
- JAX - A curated list of resources https://github.com/google/jax☆2,137Jan 20, 2026Updated 6 months ago
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,929Jun 29, 2026Updated 3 weeks ago
- Modular framework for Reinforcement Learning in python☆185Feb 1, 2023Updated 3 years ago
- Optax is a gradient processing and optimization library for JAX.☆2,304Updated this week
- SBX: Stable Baselines Jax (SB3 + Jax) RL algorithms☆603Updated this week
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Multi-Agent Reinforcement Learning with JAX☆836Updated this week
- Reinforcement learning on general 2D physics environments in JAX. ICLR 2025 Oral.☆262May 21, 2026Updated 2 months ago
- ⚡ Flashbax: Accelerated Replay Buffers in JAX☆279Sep 22, 2025Updated 10 months ago
- Accelerated minigrid environments with JAX☆175Oct 20, 2025Updated 9 months ago
- Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization☆25Dec 1, 2025Updated 7 months ago
- Gaussian processes in JAX and Equinox.☆641Updated this week
- JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️☆342Dec 16, 2025Updated 7 months ago
- [JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm varian…☆287Jul 7, 2026Updated 2 weeks ago
- Monte Carlo tree search in JAX☆2,645Jul 9, 2026Updated 2 weeks ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,101Updated this week
- Drop-in environment replacements that make your RL algorithm train faster.☆22Jun 19, 2024Updated 2 years ago
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.☆757Oct 26, 2022Updated 3 years ago
- 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX☆924May 26, 2026Updated 2 months ago
- Clean single-file implementation of offline RL algorithms in JAX☆182Jun 5, 2026Updated last month
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆750Jun 14, 2026Updated last month
- A bare-bones Python library for quality diversity optimization.☆264Updated this week