Alternatives and similar repositories for DeepConvexity

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

• awentzonline / pytorch-cns
  Generalized Compressed Network Search with PyTorch
  ☆26Updated 7 years ago
• sbelharbi / learning-class-invariant-features
  Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".
  ☆12Updated 8 years ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 5 years ago
• cranmer / poisson-convolution-sum
  Implements an infinite sum of poisson-weighted convolutions
  ☆27Updated 7 years ago
• artix41 / AVO-pytorch
  Implementation of Adversarial Variational Optimization in PyTorch
  ☆43Updated 7 years ago
• Abhishaike / HyperProtoNetReproduce
  NeurIPS 2019 Paper Implementation
  ☆12Updated 2 years ago
• frank-hutter / fanova
  Functional ANOVA
  ☆27Updated 10 years ago
• Cyanogenoid / perm-optim
  [ICLR 2019] Learning Representations of Sets through Optimized Permutations
  ☆36Updated 6 years ago
• grigorisg9gr / rocgan
  Chainer implementation of the paper Robust Conditional Generative Adversarial Networks
  ☆15Updated 5 years ago
• christopher-beckham / binary_gan_demo
  ☆26Updated 6 years ago
• asanakoy / cliquecnn
  Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792
  ☆22Updated 7 years ago
• microsoft / statopt
  Statistical adaptive stochastic optimization methods
  ☆32Updated 5 years ago
• HUJI-Deep / Generative-ConvACs
  Experiments from the article "Tensorial Mixture Models"
  ☆25Updated 7 years ago
• facebookresearch / reward-estimator-iclr
  Reward Estimation for Variance Reduction in Deep Reinforcement Learning
  ☆10Updated 7 years ago
• mtomassoli / information-theory-tutorial
  ☆16Updated 8 years ago
• bingchenlll / pytorch-IBGAN
  A pytorch implementation of Information Bottleneck GAN
  ☆28Updated 6 years ago
• cchangyou / Santa
  Code for the Santa algorithm for deep learning
  ☆17Updated 7 years ago
• david-abel / iclr_2019
  Notes from ICLR 2019
  ☆25Updated 6 years ago
• isl-org / LMRS
  Source code for ICLR 2020 paper: "Learning to Guide Random Search"
  ☆40Updated last year
• tomMoral / AdaptiveOptim
  Adaptive optimization procedure
  ☆16Updated 7 years ago
• facebookresearch / sumo-challenge
  Scene Understanding and Modeling Challenge Library
  ☆71Updated 6 years ago
• insperatum / vhe
  The Variational Homoencoder: Learning to learn high capacity generative models from few examples
  ☆34Updated 2 years ago
• hardmaru / cma
  Fork of cma-es library by Nikolaus Hansen
  ☆12Updated 8 years ago
• Orcuslc / OrthNet
  TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials
  ☆31Updated 7 years ago
• brain-research / conv-sv
  The Singular Values of Convolutional Layers
  ☆72Updated 7 years ago
• AtheMathmo / AggMo
  Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018
  ☆35Updated 6 years ago
• Lucas2012 / ProbabilisticNeuralProgrammedNetwork
  Code for "Probabilistic Neural Programmed Networks for Scene Generation.", Deng et al, NIPS 2018
  ☆40Updated last year
• Wizaron / binary-stochastic-neurons
  Binary Stochastic Neurons in PyTorch
  ☆57Updated 7 years ago
• facebookresearch / WhereDidMyOptimumGo
  An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods - EWRL Workshop 2018
  ☆15Updated 6 years ago
• fraenkel-lab / GSLR
  An algorithm for classification from a graph-sparse support
  ☆15Updated 6 years ago