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:
- ☆154Updated 5 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆141Updated 6 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.☆224Updated 5 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆128Updated 5 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 6 years ago
- Sparse Variational Dropout, ICML 2017☆312Updated 5 years ago
- Learning Sparse Neural Networks through L0 regularization☆244Updated 5 years ago
- NTK reading group☆87Updated 5 years ago
- Optimizing control variates for black-box gradient estimation☆163Updated 6 years ago
- categorical variational autoencoder using the Gumbel-Softmax estimator☆432Updated 8 years ago
- hessian in pytorch☆187Updated 4 years ago
- Code for "The Reversible Residual Network: Backpropagation Without Storing Activations"☆362Updated 7 years ago
- Efficient PyTorch Hessian eigendecomposition tools!☆379Updated last year
- Convolutional Neural Tangent Kernel☆112Updated 5 years ago
- A PyTorch library for two-sample tests☆242Updated 2 years ago
- ☆133Updated 7 years ago
- ☆157Updated 3 years ago
- Hypergradient descent☆148Updated last year
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆147Updated 2 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆278Updated 2 years ago
- ☆91Updated 3 years ago
- Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow☆303Updated 5 years ago
- Neural Architecture Search with Bayesian Optimisation and Optimal Transport☆135Updated 6 years ago
- Code for Implicit Generation and Generalization with Energy Based Models☆358Updated 2 years ago
- Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations☆286Updated 2 years ago
- A PyTorch implementation of Learning to learn by gradient descent by gradient descent☆315Updated 7 years ago
- A machine learning library for PyTorch☆93Updated 3 years ago
- Totally Versatile Miscellanea for Pytorch☆475Updated 3 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆205Updated 7 years ago