ravidziv / IDNNsLinks
explore DNNs via Infomration
☆265Updated 5 years ago
Alternatives and similar repositories for IDNNs
Users that are interested in IDNNs are comparing it to the libraries listed below
Sorting:
- ☆153Updated 5 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 5 years ago
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆223Updated 5 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆140Updated 6 years ago
- A PyTorch library for two-sample tests☆241Updated 2 years ago
- Optimizing control variates for black-box gradient estimation☆163Updated 5 years ago
- NTK reading group☆87Updated 5 years ago
- Efficient PyTorch Hessian eigendecomposition tools!☆374Updated last year
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆128Updated 5 years ago
- Gradient based hyperparameter optimization & meta-learning package for TensorFlow☆188Updated 5 years ago
- Hypergradient descent☆149Updated last year
- ☆91Updated 3 years ago
- A machine learning library for PyTorch☆93Updated 2 years ago
- Sparse Variational Dropout, ICML 2017☆313Updated 5 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 6 years ago
- Learning Sparse Neural Networks through L0 regularization☆245Updated 5 years ago
- Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations☆285Updated 2 years ago
- Convolutional Neural Tangent Kernel☆111Updated 5 years ago
- Learning kernels to maximize the power of MMD tests☆210Updated 7 years ago
- ☆219Updated 7 years ago
- A drop-in replacement for CIFAR-10.☆242Updated 4 years ago
- ☆133Updated 7 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆143Updated 2 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆272Updated 2 years ago
- hessian in pytorch☆187Updated 4 years ago
- ☆27Updated 6 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆71Updated 9 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆204Updated 6 years ago
- Scripts for Imagenet 32 dataset☆153Updated 4 years ago