Alternatives and similar repositories for neural-tangents:

Users that are interested in neural-tangents are comparing it to the libraries listed below

• google-deepmind / dm-haiku
  JAX-based neural network library
  ☆2,939Updated last month
• google-deepmind / jraph
  A Graph Neural Network Library in Jax
  ☆1,398Updated 9 months ago
• pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,148Updated this week
• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,426Updated 8 months ago
• n2cholas / awesome-jax
  JAX - A curated list of resources https://github.com/google/jax
  ☆1,660Updated 6 months ago
• google-deepmind / optax
  Optax is a gradient processing and optimization library for JAX.
  ☆1,754Updated this week
• google-research / torchsde
  Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
  ☆1,596Updated 2 weeks ago
• cornellius-gp / gpytorch
  A highly efficient implementation of Gaussian Processes in PyTorch
  ☆3,627Updated this week
• pytorch / functorch
  functorch is JAX-like composable function transforms for PyTorch.
  ☆1,403Updated this week
• facebookresearch / nevergrad
  A Python toolbox for performing gradient-free optimization
  ☆3,984Updated last month
• google / flax
  Flax is a neural network library for JAX that is designed for flexibility.
  ☆6,272Updated this week
• facebookresearch / higher
  higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…
  ☆1,601Updated 2 years ago
• mattjj / autodidact
  A pedagogical implementation of Autograd
  ☆959Updated 4 years ago
• google / jaxopt
  Hardware accelerated, batchable and differentiable optimizers in JAX.
  ☆944Updated 4 months ago
• cvxgrp / cvxpylayers
  Differentiable convex optimization layers
  ☆1,855Updated last month
• rtqichen / torchdiffeq
  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
  ☆5,713Updated last month
• google / uncertainty-baselines
  High-quality implementations of standard and SOTA methods on a variety of tasks.
  ☆1,476Updated this week
• jettify / pytorch-optimizer
  torch-optimizer -- collection of optimizers for Pytorch
  ☆3,067Updated 9 months ago
• patrick-kidger / equinox
  Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
  ☆2,193Updated last week
• getkeops / keops
  KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
  ☆1,068Updated this week
• google-deepmind / rlax
  ☆1,275Updated this week
• google-deepmind / neural-processes
  This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…
  ☆989Updated 3 years ago
• patrick-kidger / diffrax
  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
  ☆1,515Updated this week
• karpathy / pytorch-normalizing-flows
  Normalizing flows in PyTorch. Current intended use is education not production.
  ☆850Updated 4 years ago
• pyro-ppl / numpyro
  Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
  ☆2,364Updated this week
• geomstats / geomstats
  Computations and statistics on manifolds with geometric structures.
  ☆1,282Updated last week
• Zymrael / awesome-neural-ode
  A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…
  ☆1,382Updated 4 months ago
• google / ml_collections
  ML Collections is a library of Python Collections designed for ML use cases.
  ☆908Updated last month
• janosh / awesome-normalizing-flows
  Awesome resources on normalizing flows.
  ☆1,473Updated last week
• szagoruyko / pytorchviz
  A small package to create visualizations of PyTorch execution graphs
  ☆3,271Updated 2 weeks ago