Alternatives and similar repositories for neurips_2019

Users that are interested in neurips_2019 are comparing it to the libraries listed below

• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆69Updated 5 years ago
• asteroidhouse / self-tuning-networks
  Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
  ☆54Updated 6 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago
• vinayprabhu / Disentanglement_NEURIPS_2019
  On disentangling the menagerie of disentanglement papers
  ☆27Updated 5 years ago
• kefirski / variational_dropout
  Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
  ☆48Updated 7 years ago
• BorealisAI / bre-gan
  Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …
  ☆20Updated 7 years ago
• vithursant / VAE-Gumbel-Softmax
  An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…
  ☆72Updated 7 years ago
• universome / loss-patterns
  Loss Patterns of Neural Networks
  ☆85Updated 4 years ago
• moskomule / shampoo.pytorch
  An implementation of shampoo
  ☆77Updated 7 years ago
• ucla-vision / information-dropout
  Implementation of Information Dropout
  ☆39Updated 8 years ago
• Cyanogenoid / fspool
  [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling
  ☆42Updated 2 years ago
• ritheshkumar95 / energy_based_generative_models
  PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models
  ☆154Updated 6 years ago
• locuslab / lml
  The Limited Multi-Label Projection Layer
  ☆59Updated last year
• akosiorek / forge
  Basic experiment framework for tensorflow.
  ☆91Updated 4 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 5 years ago
• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 5 years ago
• yookoon / VLAE
  Code for Variational Laplace Autoencoders
  ☆54Updated 2 years ago
• david-abel / icml_2019
  Notes for ICML 2019
  ☆38Updated 6 years ago
• emtiyaz / vadam
  Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …
  ☆112Updated 6 years ago
• sjoerdvansteenkiste / Neural-EM
  Code for the "Neural Expectation Maximization" paper.
  ☆126Updated 2 years ago
• Cyanogenoid / dspn
  [NeurIPS 2019] Deep Set Prediction Networks
  ☆101Updated 5 years ago
• david-abel / iclr_2019
  Notes from ICLR 2019
  ☆25Updated 6 years ago
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆191Updated 2 years ago
• reproducibility-challenge / iclr_2019
  ICLR Reproducibility Challenge 2019
  ☆217Updated 6 years ago
• johnhw / differentiable_sorting
  Differentiable bitonic sorting
  ☆141Updated 5 years ago
• jrbtaylor / conditional-pixelcnn
  A PyTorch implementation of Conditional PixelCNNs
  ☆27Updated 7 years ago
• Zhiyuan1991 / proVLAE
  ☆27Updated 5 years ago
• dfdazac / vaesbd
  Variational Autoencoder with Spatial Broadcast Decoder
  ☆35Updated 6 years ago
• HolyBayes / pytorch_ard
  Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
  ☆84Updated 3 years ago
• XuezheMax / macow
  Masked Convolutional Flow
  ☆60Updated 5 years ago