Alternatives and similar repositories for autograd:

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

• jax-ml / jax
  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
  ☆31,708Updated this week
• google / flax
  Flax is a neural network library for JAX that is designed for flexibility.
  ☆6,433Updated this week
• pyro-ppl / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆8,704Updated last week
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,369Updated last month
• blei-lab / edward
  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
  ☆4,836Updated last year
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆5,988Updated this week
• pymc-devs / pymc
  Bayesian Modeling and Probabilistic Programming in Python
  ☆8,930Updated this week
• google-deepmind / dm-haiku
  JAX-based neural network library
  ☆2,992Updated last week
• tensorflow / probability
  Probabilistic reasoning and statistical analysis in TensorFlow
  ☆4,308Updated this week
• IDSIA / sacred
  Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
  ☆4,287Updated 3 months ago
• EpistasisLab / tpot
  A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
  ☆9,866Updated 3 weeks ago
• jmschrei / pomegranate
  Fast, flexible and easy to use probabilistic modelling in Python.
  ☆3,423Updated 2 weeks ago
• facebookresearch / nevergrad
  A Python toolbox for performing gradient-free optimization
  ☆4,015Updated last week
• automl / auto-sklearn
  Automated Machine Learning with scikit-learn
  ☆7,779Updated 2 months ago
• horovod / horovod
  Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
  ☆14,428Updated last month
• google / tangent
  Source-to-Source Debuggable Derivatives in Pure Python
  ☆2,316Updated 2 years ago
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,325Updated last year
• lmcinnes / umap
  Uniform Manifold Approximation and Projection
  ☆7,673Updated 3 weeks ago
• pyro-ppl / numpyro
  Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
  ☆2,415Updated last week
• pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,206Updated this week
• mattjj / autodidact
  A pedagogical implementation of Autograd
  ☆976Updated 4 years ago
• google-deepmind / sonnet
  TensorFlow-based neural network library
  ☆9,825Updated last month
• marcotcr / lime
  Lime: Explaining the predictions of any machine learning classifier
  ☆11,810Updated 8 months ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,763Updated last year
• karpathy / arxiv-sanity-preserver
  Web interface for browsing, search and filtering recent arxiv submissions
  ☆5,234Updated 3 years ago
• optuna / optuna
  A hyperparameter optimization framework
  ☆11,601Updated this week
• cupy / cupy
  NumPy & SciPy for GPU
  ☆10,013Updated this week
• scikit-learn-contrib / imbalanced-learn
  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
  ☆6,946Updated 3 weeks ago
• tensorflow / lucid
  A collection of infrastructure and tools for research in neural network interpretability.
  ☆4,687Updated 2 years ago
• cornellius-gp / gpytorch
  A highly efficient implementation of Gaussian Processes in PyTorch
  ☆3,665Updated 2 weeks ago