google / svccaLinks
☆636Updated 3 years ago
Alternatives and similar repositories for svcca
Users that are interested in svcca are comparing it to the libraries listed below
Sorting:
- Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆460Updated 6 years ago
- Totally Versatile Miscellanea for Pytorch☆472Updated 3 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆890Updated last year
- Python library to easily log experiments and parallelize hyperparameter search for neural networks☆736Updated 3 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆467Updated 6 years ago
- A curated list of research papers related to learning disentangled representations☆464Updated 6 years ago
- Implementations of various VAE-based semi-supervised and generative models in PyTorch☆709Updated 5 years ago
- explore DNNs via Infomration☆265Updated 5 years ago
- Bayesian Deep Learning Benchmarks☆672Updated 2 years ago
- ☆792Updated 4 years ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆338Updated 3 years ago
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,404Updated 4 years ago
- A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.☆720Updated 5 years ago
- Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations☆285Updated 2 years ago
- Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.☆387Updated 5 years ago
- Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.☆450Updated 7 years ago
- Implementations of ideas from recent papers☆392Updated 4 years ago
- ☆219Updated 7 years ago
- Dataset to assess the disentanglement properties of unsupervised learning methods☆510Updated 4 years ago
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆347Updated 5 years ago
- PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules☆494Updated 4 years ago
- MADE (Masked Autoencoder Density Estimation) implementation in PyTorch☆563Updated 6 years ago
- Code for experiments regarding importance sampling for training neural networks☆329Updated 3 years ago
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆223Updated 5 years ago
- Complementary code for the Targeted Dropout paper☆254Updated 5 years ago
- i-RevNet Pytorch Code☆392Updated 4 years ago
- Code for the TCAV ML interpretability project☆642Updated 2 months ago
- Decoupled Weight Decay Regularization (ICLR 2019)☆277Updated 6 years ago
- Code for "The Reversible Residual Network: Backpropagation Without Storing Activations"☆362Updated 7 years ago
- A PyTorch library for two-sample tests☆242Updated 2 years ago