Linking pages
- Some CUDA programming fun in Julia | Can Candan https://cancandan.github.io/julia/graphics/cuda/2022/05/07/triangles.html 17 comments
- GitHub - ml-tooling/best-of-ml-python: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. https://github.com/ml-tooling/best-of-ml-python 0 comments
- EvoJAX: A Great Framework For Most Deep Tasks | by Reza Yazdanfar | Medium https://medium.com/mlearning-ai/evojax-a-great-framework-for-most-deep-tasks-10adf685c152 0 comments
- GitHub - hardmaru/slimevolleygym: A simple OpenAI Gym environment for single and multi-agent reinforcement learning https://github.com/hardmaru/slimevolleygym 0 comments
- GitHub - CyberAgentAILab/cmaes: Python library for CMA Evolution Strategy. https://github.com/CyberAgent/cmaes 0 comments
Linked pages
- GitHub - google/jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more https://github.com/google/jax 99 comments
- neural slime volleyball pro http://otoro.net/slimevolley/ 74 comments
- REINFORCEjs: WaterWorld demo https://cs.stanford.edu/people/karpathy/reinforcejs/waterworld.html 9 comments
- [1803.07055] Simple random search provides a competitive approach to reinforcement learning https://arxiv.org/abs/1803.07055 4 comments
- [2202.05008] EvoJAX: Hardware-Accelerated Neuroevolution https://arxiv.org/abs/2202.05008 2 comments
- https://es-clip.github.io/ 1 comment
- Neuroevolution - Wikipedia https://en.wikipedia.org/wiki/Neuroevolution 0 comments
- https://attentionneuron.github.io/ 0 comments
- GitHub - google/brax: Massively parallel rigidbody physics simulation on accelerator hardware. https://github.com/google/brax 0 comments
- GitHub - hardmaru/slimevolleygym: A simple OpenAI Gym environment for single and multi-agent reinforcement learning https://github.com/hardmaru/slimevolleygym 0 comments
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