google / flax
Flax is a neural network library for JAX that is designed for flexibility.
☆6,272Updated this week
Alternatives and similar repositories for flax:
Users that are interested in flax are comparing it to the libraries listed below
- JAX-based neural network library☆2,939Updated last month
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆30,985Updated this week
- Optax is a gradient processing and optimization library for JAX.☆1,754Updated this week
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,193Updated last week
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,655Updated last week
- JAX - A curated list of resources https://github.com/google/jax☆1,660Updated 6 months ago
- PyTorch extensions for high performance and large scale training.☆3,232Updated this week
- Fast and Easy Infinite Neural Networks in Python☆2,306Updated 10 months ago
- functorch is JAX-like composable function transforms for PyTorch.☆1,403Updated this week
- A Python toolbox for performing gradient-free optimization☆3,984Updated last month
- 🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (i…☆8,178Updated this week
- cuML - RAPIDS Machine Learning Library☆4,347Updated this week
- Hydra is a framework for elegantly configuring complex applications☆8,960Updated this week
- Development repository for the Triton language and compiler☆14,042Updated this week
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,364Updated this week
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,569Updated last week
- Enabling PyTorch on XLA Devices (e.g. Google TPU)☆2,511Updated this week
- Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/☆1,300Updated last week
- A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.☆2,426Updated last month
- A scikit-learn compatible neural network library that wraps PyTorch☆5,939Updated last week
- A Graph Neural Network Library in Jax☆1,398Updated 9 months ago
- A hyperparameter optimization framework☆11,236Updated this week
- NumPy & SciPy for GPU☆9,690Updated this week
- Trax — Deep Learning with Clear Code and Speed☆8,136Updated this week
- Efficiently computes derivatives of NumPy code.☆7,095Updated this week
- ☆1,275Updated this week
- Gin provides a lightweight configuration framework for Python☆2,072Updated last month
- FFCV: Fast Forward Computer Vision (and other ML workloads!)☆2,880Updated 7 months ago
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,704Updated last week