ravidziv / IDNNsLinks
explore DNNs via Infomration
☆266Updated 5 years ago
Alternatives and similar repositories for IDNNs
Users that are interested in IDNNs are comparing it to the libraries listed below
Sorting:
- ☆154Updated 5 years ago
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆225Updated 5 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆129Updated 5 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 5 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆142Updated 6 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 6 years ago
- Optimizing control variates for black-box gradient estimation☆163Updated 6 years ago
- Efficient PyTorch Hessian eigendecomposition tools!☆382Updated last year
- Sparse Variational Dropout, ICML 2017☆313Updated 5 years ago
- Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations☆287Updated 2 years ago
- Convolutional Neural Tangent Kernel☆112Updated 6 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆73Updated 9 years ago
- Learning Sparse Neural Networks through L0 regularization☆244Updated 5 years ago
- NTK reading group☆87Updated 6 years ago
- A PyTorch library for two-sample tests☆242Updated 3 weeks ago
- hessian in pytorch☆187Updated 5 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆280Updated 3 years ago
- ☆134Updated 8 years ago
- ☆93Updated 3 years ago
- ☆157Updated 3 years ago
- Implementation of the variational continual learning method☆195Updated 6 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- ☆219Updated 7 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆101Updated 7 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆148Updated 2 years ago
- Learning kernels to maximize the power of MMD tests☆211Updated 7 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆207Updated 7 years ago
- Hypergradient descent☆147Updated last year
- ☆27Updated 7 years ago
- A machine learning library for PyTorch☆94Updated 3 years ago