google-deepmind / dm-haiku
JAX-based neural network library
☆2,990Updated last week
Alternatives and similar repositories for dm-haiku:
Users that are interested in dm-haiku are comparing it to the libraries listed below
- Flax is a neural network library for JAX that is designed for flexibility.☆6,421Updated this week
- Optax is a gradient processing and optimization library for JAX.☆1,828Updated last week
- ☆1,296Updated last month
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,263Updated this week
- ☆832Updated this week
- A Graph Neural Network Library in Jax☆1,413Updated last year
- JAX - A curated list of resources https://github.com/google/jax☆1,731Updated 3 weeks ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆955Updated this week
- Fast and Easy Infinite Neural Networks in Python☆2,323Updated last year
- functorch is JAX-like composable function transforms for PyTorch.☆1,414Updated this week
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,409Updated this week
- ML Collections is a library of Python Collections designed for ML use cases.☆928Updated last month
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,796Updated last month
- A platform for managing machine learning experiments☆840Updated this week
- A library of reinforcement learning components and agents☆3,618Updated 2 months ago
- Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/☆1,345Updated this week
- Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.☆1,420Updated 7 months ago
- PyTorch extensions for high performance and large scale training.☆3,278Updated 2 months ago
- Hopfield Networks is All You Need☆1,784Updated last year
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆31,662Updated this week
- Enabling PyTorch on XLA Devices (e.g. Google TPU)☆2,547Updated this week
- A pedagogical implementation of Autograd☆976Updated 4 years ago
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆1,559Updated last week
- Gin provides a lightweight configuration framework for Python☆2,088Updated 3 months ago
- Bayesian optimization in PyTorch☆3,199Updated this week
- ☆888Updated 8 months ago
- Monte Carlo tree search in JAX☆2,440Updated 3 months ago
- Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.☆1,044Updated 2 weeks ago
- The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series o…☆702Updated last year
- ☆555Updated 3 weeks ago