Alternatives and similar repositories for Optimization

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

• tonywu95 / eval_gen
  Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"
  ☆130Updated 8 years ago
• cilvrRG / DeepLearn-Theory
  Topics on theoretical, mathematical aspects of DL
  ☆72Updated 9 years ago
• renmengye / tensorflow-forward-ad
  Forward-mode Automatic Differentiation for TensorFlow
  ☆139Updated 7 years ago
• stwisdom / urnn
  Code for paper "Full-Capacity Unitary Recurrent Neural Networks"
  ☆54Updated 8 years ago
• davidBelanger / SPEN
  Structured Prediction Energy Networks in Torch
  ☆132Updated 8 years ago
• Bonnevie / rebar
  A Python implementation of the gradient REBAR estimator.
  ☆46Updated 7 years ago
• ml-lab / auxiliary-deep-generative-models
  Implementation of auxiliary deep generative models for semi-supervised learning
  ☆28Updated 10 years ago
• geyang / grammar_variational_autoencoder
  pytorch implementation of grammar variational autoencoder
  ☆63Updated 7 years ago
• taolei87 / icml17_knn
  Deriving Neural Architectures from Sequence and Graph Kernels
  ☆59Updated 8 years ago
• vfleaking / rnnprop
  RNNprop
  ☆36Updated 8 years ago
• stepelu / ptstat
  Probabilistic Programming and Statistical Inference in PyTorch
  ☆111Updated 8 years ago
• martius-lab / l4-optimizer
  Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"
  ☆124Updated 6 years ago
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 7 years ago
• jbornschein / reweighted-ws
  Implementation of the reweighted wake-sleep machine learning algorithm
  ☆42Updated 9 years ago
• DeNeutoy / bayesian-rnn
  ☆62Updated 8 years ago
• ermongroup / Generalized-PixelVAE
  PixelVAE with or without regularization
  ☆68Updated 8 years ago
• alykhantejani / nninit
  Weight initialization schemes for PyTorch nn.Modules
  ☆70Updated 8 years ago
• jcatw / scnn
  Implementation of search-convolutional neural networks (SCNNs)
  ☆51Updated 8 years ago
• t-vi / candlegp
  Gaussian Processes in Pytorch
  ☆75Updated 5 years ago
• gngdb / variational-dropout
  Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.
  ☆33Updated 8 years ago
• bioinf-jku / coulomb_gan
  Implementation of Coulomb GANs
  ☆62Updated 4 years ago
• RemiLeblond / SeaRNN-open
  Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)
  ☆48Updated 7 years ago
• csc2541-f17 / csc2541-f17.github.io
  ☆12Updated 8 years ago
• Smerity / search_iclr_2018
  ☆79Updated 7 years ago
• rdevon / BGAN
  boundary-seeking generative adversarial networks
  ☆46Updated 8 years ago
• BorealisAI / lite_tracer
  a light weight experiment reproducibility toolset
  ☆40Updated 5 years ago
• bamos / setGPU
  Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.
  ☆111Updated 3 years ago
• elanmart / psmm
  ☆48Updated 7 years ago
• amujika / Fast-Slow-LSTM
  ☆92Updated 8 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 11 years ago