Alternatives and similar repositories for Optimization:

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

• rdevon / BGAN
  boundary-seeking generative adversarial networks
  ☆46Updated 7 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 10 years ago
• Bonnevie / rebar
  A Python implementation of the gradient REBAR estimator.
  ☆46Updated 6 years ago
• MaestroGraph / sparse-hyper
  Code for the paper "Learning sparse transformations through backpropagation"
  ☆43Updated 5 years ago
• csc2541-f17 / csc2541-f17.github.io
  ☆12Updated 7 years ago
• elanmart / psmm
  ☆49Updated 7 years ago
• yaroslavvb / imperative
  imperative programming in TensorFlow
  ☆18Updated 8 years ago
• MaximumEntropy / cudnn_rnn_theano_benchmarks
  ☆22Updated 8 years ago
• RemiLeblond / SeaRNN-open
  Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)
  ☆48Updated 6 years ago
• pierrelux / rlss2017
  ☆17Updated 7 years ago
• ml-lab / auxiliary-deep-generative-models
  Implementation of auxiliary deep generative models for semi-supervised learning
  ☆28Updated 9 years ago
• imatge-upc / danifojo-2018-repeatrnn
  Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks
  ☆35Updated 7 years ago
• harvardnlp / lie-access-memory
  ☆17Updated 8 years ago
• geyang / grammar_variational_autoencoder
  pytorch implementation of grammar variational autoencoder
  ☆61Updated 6 years ago
• kentonl / ran
  ☆45Updated 7 years ago
• vfleaking / rnnprop
  RNNprop
  ☆36Updated 8 years ago
• alykhantejani / nninit
  Weight initialization schemes for PyTorch nn.Modules
  ☆70Updated 8 years ago
• zihangdai / cegan_iclr2017
  Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"
  ☆24Updated 7 years ago
• cmaddis / astar-sampling
  A generic Monte Carlo method based on the Gumbel-Max trick.
  ☆32Updated 8 years ago
• kefirski / bytenet
  Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper
  ☆46Updated 7 years ago
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 6 years ago
• gngdb / variational-dropout
  Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.
  ☆33Updated 7 years ago
• cilvrRG / DeepLearn-Theory
  Topics on theoretical, mathematical aspects of DL
  ☆72Updated 8 years ago
• lisa-lab / GSN
  Efficient implementation of Generative Stochastic Networks
  ☆12Updated 11 years ago
• pranv / lrh
  Learning RNN Hierarchies
  ☆44Updated 8 years ago
• rhaps0dy / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆39Updated 5 years ago
• artix41 / AVO-pytorch
  Implementation of Adversarial Variational Optimization in PyTorch
  ☆43Updated 6 years ago
• PrincetonLIPS / reversible-inductive-construction
  Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)
  ☆30Updated 4 years ago
• y0ast / VIMCO
  Implementation of "Variational Inference for Monte Carlo Objectives"
  ☆21Updated 4 years ago
• jacobandreas / neuralese
  Translating neuralese
  ☆44Updated 8 years ago