Alternatives and similar repositories for variance_reduction

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

• lisa-lab / GSN
  Efficient implementation of Generative Stochastic Networks
  ☆12Updated 11 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆32Updated 9 years ago
• shraman-rc / vae
  Fun with variational autoencoders.
  ☆11Updated 7 years ago
• Nat-D / SVAE-Torch
  ☆11Updated 8 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 8 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• arayabrain / GenerativeControl
  Code for a generative controller for the AI Gym cartpole task
  ☆15Updated 8 years ago
• Sohl-Dickstein / Minimum-Probability-Flow-Learning
  Matlab code implementing Minimum Probability Flow Learning.
  ☆69Updated 10 years ago
• davidBelanger / tf-hypergrad
  simple example of gradient-based hyperparameter optimization using tensorflow
  ☆19Updated 9 years ago
• fidlej / aledataset
  Scripts to generate a dataset with static frames from the Arcade Learning Environment
  ☆19Updated 11 years ago
• gngdb / variational-dropout
  Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.
  ☆33Updated 7 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆33Updated 10 years ago
• HUJI-Deep / Generative-ConvACs
  Experiments from the article "Tensorial Mixture Models"
  ☆25Updated 7 years ago
• frank-hutter / fanova
  Functional ANOVA
  ☆27Updated 10 years ago
• shawntan / neural-qa
  Attempt at using neural networks for the bAbI project (https://research.facebook.com/researchers/1543934539189348)
  ☆8Updated 9 years ago
• yaroslavvb / imperative
  imperative programming in TensorFlow
  ☆18Updated 8 years ago
• dirkweissenborn / mufuru
  Tensorflow Implementation of Multi-Function Recurrent Unit
  ☆23Updated 9 years ago
• vfleaking / rnnprop
  RNNprop
  ☆36Updated 8 years ago
• jbornschein / reweighted-ws
  Implementation of the reweighted wake-sleep machine learning algorithm
  ☆41Updated 8 years ago
• google-deepmind / torch-cephes
  Cephes Mathematical Functions library wrapped for Torch
  ☆47Updated 9 years ago
• DeepLearningDTU / Summerschool_2015
  Deep Learning DTU summer school 2015
  ☆23Updated 9 years ago
• arayabrain / RecurrentAutoencoder
  Sample code for generative recurrent autoencoders.
  ☆25Updated 8 years ago
• ifp-uiuc / an-analysis-of-unsupervised-pre-training-iclr-2015
  Experiment files for the paper "An Analysis of Unsupervised Pre-training in Light of Recent Advances", available here: http://arxiv.org/a…
  ☆18Updated 9 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• mrkulk / inverse-graphics-networks
  (Deprecated) See https://github.com/mrkulk/Unsupervised-Capsule-Network
  ☆14Updated 10 years ago
• szagoruyko / openai-gemm.pytorch
  PyTorch bindings for openai-gemm
  ☆20Updated 8 years ago
• Philip-Bachman / Sequential-Generation
  Generative models and other stuff too, maybe, perhaps even probably
  ☆16Updated 9 years ago
• melgor / DRAW
  Torch implementation of DRAW: A Recurrent Neural Network For Image Generation, based on https://github.com/vivanov879/draw
  ☆22Updated 9 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 10 years ago
• Bihaqo / exp-machines
  Exponential Machines implementation
  ☆41Updated 3 months ago