Alternatives and similar repositories for autograd

Users that are interested in autograd are comparing it to the libraries listed below

• pyro-ppl / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆8,871Updated 3 months ago
• cupy / cupy
  NumPy & SciPy for GPU
  ☆10,535Updated this week
• facebookresearch / nevergrad
  A Python toolbox for performing gradient-free optimization
  ☆4,120Updated 4 months ago
• google / flax
  Flax is a neural network library for JAX that is designed for flexibility.
  ☆6,845Updated last week
• jax-ml / jax
  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
  ☆33,658Updated this week
• blei-lab / edward
  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
  ☆4,837Updated last year
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,118Updated last month
• google-deepmind / dm-haiku
  JAX-based neural network library
  ☆3,103Updated 2 weeks ago
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,482Updated last week
• tensorflow / probability
  Probabilistic reasoning and statistical analysis in TensorFlow
  ☆4,380Updated last week
• google / tangent
  Source-to-Source Debuggable Derivatives in Pure Python
  ☆2,317Updated 3 years ago
• pymc-devs / pymc
  Bayesian Modeling and Probabilistic Programming in Python
  ☆9,290Updated last week
• numba / numba
  NumPy aware dynamic Python compiler using LLVM
  ☆10,654Updated last week
• mattjj / autodidact
  A pedagogical implementation of Autograd
  ☆996Updated 5 years ago
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,889Updated 4 months ago
• cornellius-gp / gpytorch
  A highly efficient implementation of Gaussian Processes in PyTorch
  ☆3,779Updated last month
• IDSIA / sacred
  Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
  ☆4,336Updated last month
• google / trax
  Trax — Deep Learning with Clear Code and Speed
  ☆8,287Updated 2 weeks ago
• meta-pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,366Updated this week
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,795Updated last year
• lanpa / tensorboardX
  tensorboard for pytorch (and chainer, mxnet, numpy, ...)
  ☆7,965Updated last month
• tensorly / tensorly
  TensorLy: Tensor Learning in Python.
  ☆1,636Updated 5 months ago
• arogozhnikov / einops
  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
  ☆9,215Updated 2 months ago
• pyro-ppl / numpyro
  Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
  ☆2,540Updated this week
• SheffieldML / GPy
  Gaussian processes framework in python
  ☆2,118Updated 3 months ago
• HIPS / Spearmint
  Spearmint Bayesian optimization codebase
  ☆1,561Updated 5 years ago
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,358Updated last year
• ermongroup / cs228-notes
  Course notes for CS228: Probabilistic Graphical Models.
  ☆1,972Updated 3 months ago
• bayesian-optimization / BayesianOptimization
  A Python implementation of global optimization with gaussian processes.
  ☆8,412Updated last month
• google-deepmind / sonnet
  TensorFlow-based neural network library
  ☆9,884Updated 2 months ago