Alternatives and similar repositories for maxwells-daemon

Users that are interested in maxwells-daemon are comparing it to the libraries listed below

• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 8 years ago
• Sohl-Dickstein / Minimum-Probability-Flow-Learning
  Matlab code implementing Minimum Probability Flow Learning.
  ☆69Updated 10 years ago
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 6 years ago
• bshahr / torch-dngo
  Torch implementation of the Deep Network for Global Optimization (DNGO)
  ☆51Updated 8 years ago
• Nat-D / SVAE-Torch
  ☆11Updated 8 years ago
• louissmit / VBNN
  Variational Bayes for NN in Torch7 (http://papers.nips.cc/paper/4329-practical-variational-inference-for-neural-networks.pdf)
  ☆10Updated 10 years ago
• imurray / chol-rev
  Backpropagate derivatives through the Cholesky decomposition
  ☆58Updated 5 years ago
• lisa-lab / GSN
  Efficient implementation of Generative Stochastic Networks
  ☆12Updated 11 years ago
• duvenaud / deep-limits
  Repo for a paper about constructing priors on very deep models.
  ☆73Updated 8 years ago
• google-deepmind / torch-cephes
  Cephes Mathematical Functions library wrapped for Torch
  ☆47Updated 9 years ago
• rachtsingh / lgamma
  Implementations of polygamma, lgamma, and beta functions for PyTorch
  ☆24Updated 7 years ago
• HIPS / hips-lib
  Library of common tools for machine learning research.
  ☆41Updated 7 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• cilvrRG / DeepLearn-Theory
  Topics on theoretical, mathematical aspects of DL
  ☆72Updated 8 years ago
• davidBelanger / tf-hypergrad
  simple example of gradient-based hyperparameter optimization using tensorflow
  ☆19Updated 9 years ago
• stwisdom / urnn
  Code for paper "Full-Capacity Unitary Recurrent Neural Networks"
  ☆54Updated 8 years ago
• HIPS / author-roulette
  LaTeX package for randomizing author order based on a public seed.
  ☆40Updated 10 years ago
• jbornschein / reweighted-ws
  Implementation of the reweighted wake-sleep machine learning algorithm
  ☆41Updated 8 years ago
• Qwlouse / Binding
  Code for the "Binding via Reconstruction Clustering" paper
  ☆21Updated 9 years ago
• jbornschein / bihm
  Bidirectional Helmholtz Machines
  ☆40Updated 9 years ago
• vfleaking / rnnprop
  RNNprop
  ☆36Updated 8 years ago
• YingzhenLi / stochastic-EP
  code for stochastic expectation propagation
  ☆16Updated 9 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 10 years ago
• mrkulk / SequentialInference
  Dirichlet Process Mixture using PVI, SMC, Variational
  ☆15Updated 11 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 10 years ago
• jaanli / proximity_vi
  This code accompanies the proximity variational inference paper.
  ☆18Updated 6 years ago
• shraman-rc / vae
  Fun with variational autoencoders.
  ☆11Updated 7 years ago
• karlnapf / kernel_hmc
  Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"
  ☆25Updated 7 years ago
• mbhenaff / spectral-lib
  ☆45Updated 9 years ago