Alternatives and similar repositories for svcca

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

• brain-research / realistic-ssl-evaluation
  Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"
  ☆460Updated 5 years ago
• pytorch / contrib
  Implementations of ideas from recent papers
  ☆393Updated 4 years ago
• shaohua0116 / ICLR2019-OpenReviewData
  Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
  ☆387Updated 5 years ago
• OATML / bdl-benchmarks
  Bayesian Deep Learning Benchmarks
  ☆671Updated 2 years ago
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆889Updated last year
• loshchil / AdamW-and-SGDW
  Decoupled Weight Decay Regularization (ICLR 2019)
  ☆275Updated 6 years ago
• Schlumberger / joint-vae
  Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation
  ☆465Updated 6 years ago
• wohlert / semi-supervised-pytorch
  Implementations of various VAE-based semi-supervised and generative models in PyTorch
  ☆707Updated 5 years ago
• google-deepmind / dsprites-dataset
  Dataset to assess the disentanglement properties of unsupervised learning methods
  ☆506Updated 4 years ago
• loeweX / Greedy_InfoMax
  Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations
  ☆285Updated 2 years ago
• williamFalcon / test-tube
  Python library to easily log experiments and parallelize hyperparameter search for neural networks
  ☆736Updated 2 years ago
• CSAILVision / NetDissect
  Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.
  ☆447Updated 6 years ago
• google-research / disentanglement_lib
  disentanglement_lib is an open-source library for research on learning disentangled representations.
  ☆1,401Updated 4 years ago
• jhjacobsen / pytorch-i-revnet
  i-RevNet Pytorch Code
  ☆392Updated 4 years ago
• t-vi / pytorch-tvmisc
  Totally Versatile Miscellanea for Pytorch
  ☆471Updated 3 years ago
• sootlasten / disentangled-representation-papers
  A curated list of research papers related to learning disentangled representations
  ☆464Updated 5 years ago
• reproducibility-challenge / iclr_2019
  ICLR Reproducibility Challenge 2019
  ☆218Updated 6 years ago
• google-research / lottery-ticket-hypothesis
  A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.
  ☆720Updated 4 years ago
• uber-research / intrinsic-dimension
  ☆219Updated 7 years ago
• idiap / importance-sampling
  Code for experiments regarding importance sampling for training neural networks
  ☆329Updated 3 years ago
• ravidziv / IDNNs
  explore DNNs via Infomration
  ☆263Updated 5 years ago
• renmengye / revnet-public
  Code for "The Reversible Residual Network: Backpropagation Without Storing Activations"
  ☆361Updated 6 years ago
• ajbrock / SMASH
  An experimental technique for efficiently exploring neural architectures.
  ☆491Updated 7 years ago
• locuslab / trellisnet
  [ICLR'19] Trellis Networks for Sequence Modeling
  ☆472Updated 5 years ago
• facebookresearch / open_lth
  A repository in preparation for open-sourcing lottery ticket hypothesis code.
  ☆633Updated 2 years ago
• modestyachts / CIFAR-10.1
  Release of CIFAR-10.1, a new test set for CIFAR-10.
  ☆222Updated 5 years ago
• BayesWatch / cinic-10
  A drop-in replacement for CIFAR-10.
  ☆241Updated 4 years ago
• team-approx-bayes / dl-with-bayes
  Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"
  ☆245Updated 5 years ago
• josipd / torch-two-sample
  A PyTorch library for two-sample tests
  ☆239Updated 2 years ago
• facebookresearch / luckmatters
  Understanding Training Dynamics of Deep ReLU Networks
  ☆293Updated 3 weeks ago