google / svccaLinks
☆639Updated 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☆475Updated 3 years ago
- Python library to easily log experiments and parallelize hyperparameter search for neural networks☆735Updated 3 years ago
- explore DNNs via Infomration☆265Updated 5 years ago
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆224Updated 5 years ago
- Implementations of various VAE-based semi-supervised and generative models in PyTorch☆710Updated 5 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆891Updated last year
- Implementations of ideas from recent papers☆392Updated 4 years ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆338Updated 3 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
- A curated list of research papers related to learning disentangled representations☆465Updated 6 years ago
- PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules☆495Updated 4 years ago
- A drop-in replacement for CIFAR-10.☆245Updated 4 years ago
- ☆797Updated 4 years ago
- Code for experiments regarding importance sampling for training neural networks☆329Updated 3 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆469Updated 6 years ago
- Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.☆452Updated 7 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 5 years ago
- ☆535Updated 3 years ago
- Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations☆286Updated 2 years ago
- ☆352Updated 5 years ago
- i-RevNet Pytorch Code☆394Updated 4 years ago
- Decoupled Weight Decay Regularization (ICLR 2019)☆282Updated 6 years ago
- ☆219Updated 7 years ago
- t-SNE experiments in pytorch☆479Updated 2 years ago
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆346Updated 5 years ago
- Dataset to assess the disentanglement properties of unsupervised learning methods☆514Updated 4 years ago
- A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.☆721Updated 5 years ago
- Implementation for the Lookahead Optimizer.☆243Updated 3 years ago
- Code for "The Reversible Residual Network: Backpropagation Without Storing Activations"☆362Updated 7 years ago