Alternatives and similar repositories for sparse_gen

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

• aditya-grover / uae
  Uncertainty Autoencoders, AISTATS 2019
  ☆56Updated 6 years ago
• kekeblom / DeepCGP
  Deep convolutional gaussian processes.
  ☆80Updated 6 years ago
• bwohlberg / sporco-cuda
  CUDA extension for the SPORCO project
  ☆18Updated 4 years ago
• HaberGroup / SemiImplicitDNNs
  Pytorch implementation of 'Semi-Implicit Methods for Deep Neural Networks'
  ☆25Updated 6 years ago
• ronaldiscool / VAETutorial
  ☆17Updated 5 years ago
• ermongroup / mintnet
  MintNet: Building Invertible Neural Networks with Masked Convolutions
  ☆39Updated 4 years ago
• lunz-s / DeepAdverserialRegulariser
  ☆18Updated 5 years ago
• openai / ot-gan
  Code for the paper "Improving GANs Using Optimal Transport"
  ☆73Updated 6 years ago
• LuisArmandoPerez / DiffusionVAE
  ☆29Updated 3 years ago
• MichaelArbel / Scaled-MMD-GAN
  Scaled MMD GAN
  ☆36Updated 5 years ago
• ehoogeboom / emerging
  ☆42Updated 6 years ago
• mikigom / large-scale-OT-mapping-TF
  Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)
  ☆20Updated 7 years ago
• ssydasheng / Neural-Kernel-Network
  Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326
  ☆71Updated 7 years ago
• po0ya / csgan
  Task-Aware Compressed Sensing Using Generative Adversarial Networks (published in AAAI18)
  ☆31Updated 7 years ago
• cunningham-lab / igr
  ☆30Updated 4 years ago
• microsoft / conservative-uncertainty-estimation-random-priors
  Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)
  ☆21Updated 2 years ago
• pomonam / NoisyNaturalGradient
  TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".
  ☆60Updated 6 years ago
• jeanfeydy / global-divergences
  MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.
  ☆56Updated 6 years ago
• xbresson / IPAM_Tutorial_2019
  Notebooks for IPAM Tutorial, March 15 2019
  ☆24Updated 6 years ago
• JeanKossaifi / FISTA
  Python implementation of the Fast Iterative Shrinkage/Thresholding Algorithm.
  ☆94Updated 6 years ago
• tomMoral / adopty
  ☆19Updated 5 years ago
• Alfo5123 / Variational-Sparse-Coding
  Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge
  ☆62Updated 2 years ago
• brain-research / ncp
  Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors
  ☆62Updated 5 years ago
• gpeyre / 2016-ICML-gromov-wasserstein
  Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.
  ☆74Updated 9 years ago
• skolouri / swae
  Implementation of the Sliced Wasserstein Autoencoders
  ☆90Updated 7 years ago
• lxuechen / BDMC
  PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.
  ☆52Updated 4 years ago
• YingzhenLi / SteinGrad
  Code release for the ICLR paper
  ☆21Updated 7 years ago
• AdamCobb / LCBNN
  ☆25Updated 3 years ago
• skolouri / swgmm
  Sliced Wasserstein Distance for Learning Gaussian Mixture Models
  ☆66Updated 2 years ago
• ermongroup / higher_order_invariance
  Code for "Accelerating Natural Gradient with Higher-Order Invariance"
  ☆30Updated 6 years ago