Alternatives and similar repositories for simons-ml:

Users that are interested in simons-ml are comparing it to the libraries listed below

• mtomassoli / information-theory-tutorial
  ☆16Updated 8 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 7 years ago
• shraman-rc / vae
  Fun with variational autoencoders.
  ☆11Updated 7 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆32Updated 9 years ago
• Sohl-Dickstein / Minimum-Probability-Flow-Learning
  Matlab code implementing Minimum Probability Flow Learning.
  ☆68Updated 10 years ago
• CW-Huang / BayesianHypernet
  ☆17Updated 7 years ago
• yoshua / dl-nature-review
  review of Deep Learning for Nature
  ☆31Updated 9 years ago
• wojzaremba / trpo_rnn
  ☆20Updated 8 years ago
• approximateinference / approximateinference.github.io
  NeurIPS workshop on Advances in Approximate Bayesian Inference
  ☆48Updated last week
• yaroslavvb / imperative
  imperative programming in TensorFlow
  ☆18Updated 8 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆33Updated 9 years ago
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 6 years ago
• ivaleraM / DataTypes
  Automatic Discovery of the Statistical Types of Variables in a Dataset
  ☆23Updated 6 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• awentzonline / pytorch-cns
  Generalized Compressed Network Search with PyTorch
  ☆26Updated 7 years ago
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 10 years ago
• HUJI-Deep / Generative-ConvACs
  Experiments from the article "Tensorial Mixture Models"
  ☆25Updated 7 years ago
• mwhoffman / pygp
  Python package for inference with Gaussian processes
  ☆11Updated 10 years ago
• duvenaud / deep-limits
  Repo for a paper about constructing priors on very deep models.
  ☆73Updated 8 years ago
• cranmer / active_sciencing
  active learning + reusable workflows + likelihood free inference
  ☆60Updated 7 years ago
• matejbalog / gumbel-relatives
  Code to reproduce experiments appearing in the academic paper Lost Relatives of the Gumbel Trick
  ☆17Updated 7 years ago
• frank-hutter / fanova
  Functional ANOVA
  ☆27Updated 10 years ago
• imurray / chol-rev
  Backpropagate derivatives through the Cholesky decomposition
  ☆58Updated 4 years ago
• ramon-oliveira / deepstats
  Repository for "Known Unknowns: Uncertainty Quality in Bayesian Neural Networks" paper.
  ☆12Updated 8 years ago
• enalisnick / paper_summaries
  Summaries and minimal implementations of ML / statistics research articles.
  ☆39Updated 4 years ago
• pluskid / DistLearn.jl
  Example of distributed learning in Julia
  ☆22Updated 7 years ago
• cranmer / poisson-convolution-sum
  Implements an infinite sum of poisson-weighted convolutions
  ☆26Updated 6 years ago
• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 7 years ago
• harvardnlp / strux
  ☆18Updated 3 years ago
• fidlej / aledataset
  Scripts to generate a dataset with static frames from the Arcade Learning Environment
  ☆19Updated 10 years ago