loeweX / Greedy_InfoMaxLinks
Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations
☆291Updated 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:
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆427Updated 3 years ago
- Public repo for Augmented Multiscale Deep InfoMax representation learning☆401Updated 5 years ago
- A PyTorch library for two-sample tests☆241Updated 2 months ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆381Updated 5 years ago
- Disentanglement library for PyTorch☆283Updated 3 years ago
- [NeurIPS 2019] Deep Set Prediction Networks☆101Updated 5 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆140Updated 6 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆207Updated 7 years ago
- Understanding Training Dynamics of Deep ReLU Networks☆307Updated 3 months ago
- Hypergradient descent☆147Updated last year
- Supplementary code for the paper "Hyperbolic Image Embeddings".☆390Updated 4 years ago
- PyTorch Implementations of Dropout Variants☆88Updated 8 years ago
- A machine learning library for PyTorch☆94Updated 3 years ago
- Efficient PyTorch Hessian eigendecomposition tools!☆384Updated last year
- Pytorch Implementation of OpenAI's PixelCNN++☆349Updated 4 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆232Updated 7 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆129Updated 2 years ago
- PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)☆73Updated 7 years ago
- PyTorch Framework for Developing Memory Efficient Deep Invertible Networks☆256Updated 2 years ago
- Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf☆103Updated 4 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆273Updated 2 years ago
- Memory efficient MAML using gradient checkpointing☆86Updated 6 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆470Updated 6 years ago
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Updated 2 years ago
- ☆79Updated 9 months ago
- PyTorch implementations of algorithms for density estimation☆585Updated 4 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 8 years ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆246Updated 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 implementation of L0 regularization with PyTorch☆57Updated 7 years ago