google-deepmind / dm-haikuLinks
JAX-based neural network library
☆3,114Updated last month
Alternatives and similar repositories for dm-haiku
Users that are interested in dm-haiku are comparing it to the libraries listed below
Sorting:
- Flax is a neural network library for JAX that is designed for flexibility.☆6,906Updated this week
- Optax is a gradient processing and optimization library for JAX.☆2,074Updated last week
- ☆1,372Updated last month
- JAX - A curated list of resources https://github.com/google/jax☆1,964Updated 2 months ago
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,663Updated 2 weeks ago
- Fast and Easy Infinite Neural Networks in Python☆2,360Updated last year
- A Graph Neural Network Library in Jax☆1,451Updated last year
- ☆888Updated last week
- ML Collections is a library of Python Collections designed for ML use cases.☆994Updated last week
- functorch is JAX-like composable function transforms for PyTorch.☆1,436Updated 2 months ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,002Updated last month
- A platform for managing machine learning experiments☆876Updated last month
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,550Updated last week
- ☆775Updated last year
- Gin provides a lightweight configuration framework for Python☆2,133Updated last month
- A library of reinforcement learning components and agents☆3,838Updated last month
- Bayesian optimization in PyTorch☆3,399Updated this week
- A pedagogical implementation of Autograd☆1,001Updated 5 years ago
- Hopfield Networks is All You Need☆1,870Updated 2 years ago
- ☆921Updated last year
- Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/☆1,634Updated last month
- Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.☆1,608Updated this week
- Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.☆1,459Updated 6 months ago
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,680Updated 10 months ago
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,139Updated last week
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,748Updated last week
- 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…☆764Updated last year
- Mesh TensorFlow: Model Parallelism Made Easier☆1,621Updated last year
- Efficiently computes derivatives of NumPy code.☆7,393Updated last week
- Adaptive Experimentation Platform☆2,600Updated this week