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
  ☆3,034Updated this week
• jettify / pytorch-optimizer
  torch-optimizer -- collection of optimizers for Pytorch
  ☆3,114Updated last year
• pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,271Updated this week
• cornellius-gp / gpytorch
  A highly efficient implementation of Gaussian Processes in PyTorch
  ☆3,709Updated 2 months ago
• ml-jku / hopfield-layers
  Hopfield Networks is All You Need
  ☆1,808Updated 2 years ago
• google / edward2
  A simple probabilistic programming language.
  ☆694Updated 2 months ago
• google-deepmind / jraph
  A Graph Neural Network Library in Jax
  ☆1,433Updated last year
• google-research / torchsde
  Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
  ☆1,645Updated 5 months ago
• pytorch / functorch
  functorch is JAX-like composable function transforms for PyTorch.
  ☆1,429Updated 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…
  ☆1,619Updated 3 years ago
• pytorch / captum
  Model interpretability and understanding for PyTorch
  ☆5,236Updated last week
• bayesgroup / deepbayes-2019
  Practical assignments of the Deep|Bayes summer school 2019
  ☆832Updated 5 years ago
• cvxgrp / cvxpylayers
  Differentiable convex optimization layers
  ☆1,940Updated this week
• facebookresearch / nevergrad
  A Python toolbox for performing gradient-free optimization
  ☆4,071Updated this week
• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,487Updated last year
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆678Updated 3 years ago
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆583Updated 5 months ago
• arogozhnikov / einops
  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
  ☆8,943Updated last month
• google / uncertainty-baselines
  High-quality implementations of standard and SOTA methods on a variety of tasks.
  ☆1,511Updated last month
• libffcv / ffcv
  FFCV: Fast Forward Computer Vision (and other ML workloads!)
  ☆2,930Updated 11 months ago
• pyro-ppl / numpyro
  Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
  ☆2,457Updated this week
• n2cholas / awesome-jax
  JAX - A curated list of resources https://github.com/google/jax
  ☆1,820Updated 3 months ago
• google-deepmind / optax
  Optax is a gradient processing and optimization library for JAX.
  ☆1,902Updated last week
• google / flax
  Flax is a neural network library for JAX that is designed for flexibility.
  ☆6,586Updated this week
• Lightning-Universe / lightning-bolts
  Toolbox of models, callbacks, and datasets for AI/ML researchers.
  ☆1,730Updated 3 weeks ago
• google / objax
  ☆770Updated last year
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆505Updated last month
• tensorly / tensorly
  TensorLy: Tensor Learning in Python.
  ☆1,611Updated 3 weeks ago
• google-deepmind / neural-processes
  This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…
  ☆1,003Updated 4 years ago
• patrick-kidger / torchtyping
  Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
  ☆1,431Updated last month