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"☆426Updated 3 years ago
- Public repo for Augmented Multiscale Deep InfoMax representation learning☆399Updated 5 years ago
- A PyTorch library for two-sample tests☆241Updated last month
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆380Updated 5 years ago
- [NeurIPS 2019] Deep Set Prediction Networks☆101Updated 5 years ago
- A machine learning library for PyTorch☆94Updated 3 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆207Updated 7 years ago
- Efficient PyTorch Hessian eigendecomposition tools!☆382Updated last year
- Disentanglement library for PyTorch☆283Updated 3 years ago
- Understanding Training Dynamics of Deep ReLU Networks☆305Updated 2 months ago
- code for "Residual Flows for Invertible Generative Modeling".☆273Updated 2 years ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆245Updated 6 years ago
- Hypergradient descent☆147Updated last year
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 7 years ago
- Totally Versatile Miscellanea for Pytorch☆475Updated 3 years ago
- PyTorch Framework for Developing Memory Efficient Deep Invertible Networks☆256Updated 2 years ago
- Memory efficient MAML using gradient checkpointing☆86Updated 6 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆231Updated 7 years ago
- PyTorch implementations of algorithms for density estimation☆585Updated 4 years ago
- Supplementary code for the paper "Hyperbolic Image Embeddings".☆390Updated 3 years ago
- explore DNNs via Infomration☆266Updated 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
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆282Updated 3 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆216Updated 2 weeks ago
- Implementation for the Lookahead Optimizer.☆243Updated 3 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆149Updated 2 years ago
- PyTorch code for training neural networks without global back-propagation☆166Updated 6 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 8 years ago
- ☆238Updated 6 years ago
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Updated 2 years ago