Alternatives and similar repositories for AutoDiff

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

• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆33Updated 9 years ago
• imurray / chol-rev
  Backpropagate derivatives through the Cholesky decomposition
  ☆58Updated 5 years ago
• RuiShu / kaos
  Deep variational inference library for Keras
  ☆15Updated 8 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 10 years ago
• google-deepmind / torch-cephes
  Cephes Mathematical Functions library wrapped for Torch
  ☆47Updated 9 years ago
• approximateinference / approximateinference.github.io
  NeurIPS workshop on Advances in Approximate Bayesian Inference
  ☆48Updated 2 months ago
• mwhoffman / pygp
  Python package for inference with Gaussian processes
  ☆11Updated 10 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 10 years ago
• brendenlake / structural-sparsity
  Structure learning for sparse graphs with latent variables
  ☆45Updated 8 years ago
• Sohl-Dickstein / Minimum-Probability-Flow-Learning
  Matlab code implementing Minimum Probability Flow Learning.
  ☆69Updated 10 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 8 years ago
• ajbc / lda-svi
  an implementation of latent Dirichlet allocation (LDA) with stochastic variational inference
  ☆20Updated 8 years ago
• ivaleraM / DataTypes
  Automatic Discovery of the Statistical Types of Variables in a Dataset
  ☆23Updated 7 years ago
• rgiordan / LinearResponseVariationalBayesNIPS2015
  Code and text for our NIPS 2015 paper on linear response variational Bayes
  ☆19Updated 7 years ago
• HIPS / hips-lib
  Library of common tools for machine learning research.
  ☆41Updated 7 years ago
• fidlej / aledataset
  Scripts to generate a dataset with static frames from the Arcade Learning Environment
  ☆19Updated 11 years ago
• lisa-lab / GSN
  Efficient implementation of Generative Stochastic Networks
  ☆12Updated 11 years ago
• IndicoDataSolutions / Foxhound
  Scikit learn inspired library for gpu-accelerated machine learning
  ☆38Updated 2 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• mimno / anchor
  Mallet-compatible anchor-based topic model
  ☆38Updated 11 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 8 years ago
• google-deepmind / mnist-cluttered
  Cluttered MNIST Dataset
  ☆52Updated 10 years ago
• ICML14MoMCompare / spectral-learn
  Collection of three method of moments based algorithms for learning stochastic languages.
  ☆15Updated 10 years ago
• JournalMLR / jmlr-style-file
  LaTeX style file for the Journal of Machine Learning Research
  ☆9Updated 5 years ago
• duvenaud / deep-limits
  Repo for a paper about constructing priors on very deep models.
  ☆73Updated 9 years ago
• rgiordan / CovariancesRobustnessVBPaper
  ☆12Updated 2 years ago
• premgopalan / bnprec
  Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…
  ☆15Updated 11 years ago
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆39Updated 8 years ago