A differentiable cosmology library in JAX
updated at May 26, 2024, 8:35 p.m.
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
updated at May 26, 2024, 8:28 p.m.
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
updated at May 26, 2024, 5:44 p.m.
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
updated at May 26, 2024, 4:51 p.m.
Really Fast End-to-End Jax RL Implementations
updated at May 26, 2024, 4:10 p.m.
đ¤ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
updated at May 26, 2024, 2:36 p.m.
đšī¸ A diverse suite of scalable reinforcement learning environments in JAX
updated at May 26, 2024, 6:16 a.m.