google / svccaLinks
☆640Updated 4 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
- ☆798Updated 4 years ago
- explore DNNs via Infomration☆266Updated 5 years ago
- Totally Versatile Miscellanea for Pytorch☆475Updated 3 years ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆338Updated 4 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆894Updated last year
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆225Updated 5 years ago
- Python library to easily log experiments and parallelize hyperparameter search for neural networks☆735Updated 3 years ago
- A curated list of research papers related to learning disentangled representations☆465Updated 6 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.☆454Updated 7 years ago
- Implementations of ideas from recent papers☆392Updated 4 years ago
- Implementations of various VAE-based semi-supervised and generative models in PyTorch☆710Updated 5 years ago
- Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.☆387Updated 6 years ago
- Code for the TCAV ML interpretability project☆648Updated 5 months ago
- Dataset to assess the disentanglement properties of unsupervised learning methods☆517Updated 4 years ago
- An experimental technique for efficiently exploring neural architectures.☆492Updated 8 years ago
- A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.☆722Updated 5 years ago
- Decoupled Weight Decay Regularization (ICLR 2019)☆285Updated 6 years ago
- Attributing predictions made by the Inception network using the Integrated Gradients method☆640Updated 3 years ago
- ☆219Updated 7 years ago
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,413Updated 4 years ago
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆348Updated 5 years ago
- i-RevNet Pytorch Code☆396Updated 4 years ago
- Code for experiments regarding importance sampling for training neural networks☆328Updated 4 years ago
- PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules☆495Updated 4 years ago
- Virtual adversarial training with Tensorflow☆254Updated 7 years ago
- Fast Scattering Transform with CuPy/PyTorch☆295Updated 5 years ago
- Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations☆287Updated 2 years ago
- Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).☆989Updated last year