Alternatives and similar repositories for ICML-2017-Papers:

Users that are interested in ICML-2017-Papers are comparing it to the libraries listed below

• niudd / ICML-2018-Papers
  https://icml.cc/Conferences/2018/Schedule
  ☆35Updated 6 years ago
• zjmwqx / nips-2017-paper-collection
  ☆55Updated 6 years ago
• zergylord / oneshot
  ☆68Updated 7 years ago
• bigaidream-projects / drmad
  DrMAD
  ☆107Updated 7 years ago
• nowozin / mlss2018-madrid-gan
  MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)
  ☆179Updated 4 years ago
• caglar / autoencoders
  Implementation of several different types of autoencoders
  ☆115Updated 2 years ago
• liupeng3425 / interpretable-research
  I collected some papers about interpretable CNN and reorganized them here.
  ☆128Updated 6 years ago
• guojunq / lsgan
  This is the project for LS-GAN (Loss-Sensitive GAN)
  ☆213Updated 7 years ago
• runopti / Learning-To-Learn
  TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"
  ☆85Updated 7 years ago
• YixuanLi / convergent_learning
  Code for paper "Convergent Learning: Do different neural networks learn the same representations?"
  ☆86Updated 8 years ago
• delta2323 / DLIF-tutorial
  Coding example of DLIF tutorial
  ☆66Updated 8 years ago
• callowbird / Harmonica
  Code repository for the paper "Hyperparameter Optimization: A Spectral Approach" by Elad Hazan, Adam Klivans, Yang Yuan.
  ☆174Updated 6 years ago
• y0ast / VAE-TensorFlow
  Implementation of a Variational Auto-Encoder in TensorFlow
  ☆209Updated 7 years ago
• nutszebra / neural_architecture_search_with_reinforcement_learning_appendix_a
  Implementation of Appendix A (Neural Architecture Search with Reinforcement Learning: https://arxiv.org/abs/1611.01578) by chainer
  ☆54Updated 6 years ago
• mlresearch / v80
  Proceedings of ICML 2018
  ☆39Updated 2 years ago
• lopezpaz / distillation_privileged_information
  Code for "Unifying distillation and privileged information" (ICLR 2016).
  ☆48Updated 8 years ago
• jazzsaxmafia / dcgan_tensorflow
  Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS"
  ☆81Updated 7 years ago
• Smerity / search_iclr_2018
  ☆79Updated 7 years ago
• pbhatia243 / tf-layer-norm
  TensorFlow implementation of normalizations such as Layer Normalization, HyperNetworks.
  ☆111Updated 8 years ago
• taki0112 / AMSGrad-Tensorflow
  Simple Tensorflow implementation of "On the Convergence of Adam and Beyond" (ICLR 2018)
  ☆104Updated 5 years ago
• JianGoForIt / YellowFin_Pytorch
  auto-tuning momentum SGD optimizer
  ☆287Updated 5 years ago
• SkidanovAlex / ShallowNeuralDecisionForest
  Implementation of Deep Neural Decision Forest based on MSR paper
  ☆29Updated 9 years ago
• siddharth-agrawal / Generative-Moment-Matching-Networks
  ☆63Updated 8 years ago
• LMescheder / AdversarialVariationalBayes
  This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…
  ☆206Updated 6 years ago
• ischlag / distributed-tensorflow-example
  An example of data parallelism and async updates of parameter in tensorflow.
  ☆121Updated 6 years ago
• takerum / vat
  Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"
  ☆110Updated 7 years ago
• LiqunChen0606 / Triangle-GAN
  implementation for NIPS paper Triangle Generative Adversarial Networks
  ☆61Updated 7 years ago
• snf / keras-fractalnet
  FractalNet implementation in Keras: Ultra-Deep Neural Networks without Residuals
  ☆155Updated 7 years ago
• hpcgarage / accelerated_dl_pytorch
  Accelerated Deep Learning with PyTorch at Jupyter Day Atlanta II
  ☆127Updated 6 years ago
• fabianp / hoag
  Hyperparameter optimization with approximate gradient
  ☆66Updated 3 years ago