loeweX / Greedy_InfoMaxLinks
Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations
☆285Updated 2 years ago
Alternatives and similar repositories for Greedy_InfoMax
Users that are interested in Greedy_InfoMax are comparing it to the libraries listed below
Sorting:
- Public repo for Augmented Multiscale Deep InfoMax representation learning☆400Updated 4 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆423Updated 2 years ago
- [NeurIPS 2019] Deep Set Prediction Networks☆100Updated 4 years ago
- Understanding Training Dynamics of Deep ReLU Networks☆293Updated last month
- A PyTorch library for two-sample tests☆240Updated 2 years ago
- A machine learning library for PyTorch☆92Updated 2 years ago
- Disentanglement library for PyTorch☆278Updated 3 years ago
- A library for evaluating representations.☆76Updated 3 years ago
- Hypergradient descent☆148Updated last year
- A curated list of research papers related to learning disentangled representations☆464Updated 6 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆106Updated 6 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆139Updated 5 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆204Updated 6 years ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆369Updated 5 years ago
- Code for "Recurrent Independent Mechanisms"☆118Updated 3 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆465Updated 6 years ago
- hessian in pytorch☆187Updated 4 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆228Updated 7 years ago
- Keras implementation of Representation Learning with Contrastive Predictive Coding☆540Updated 6 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights☆182Updated 6 years ago
- PyTorch Framework for Developing Memory Efficient Deep Invertible Networks☆255Updated 2 years ago
- ☆351Updated 5 years ago
- A plug-in replacement for DataLoader to load Imagenet disk-sequentially in PyTorch.☆239Updated 3 years ago
- Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf☆103Updated 3 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆244Updated 6 years ago
- Differentiable Neural Computers, Sparse Access Memory and Sparse Differentiable Neural Computers, for Pytorch☆341Updated last week
- Efficient PyTorch Hessian eigendecomposition tools!☆374Updated last year
- PyTorch code for training neural networks without global back-propagation☆165Updated 5 years ago
- ☆77Updated 2 months ago