xgfs / imdLinks
Code for MSID, a Multi-Scale Intrinsic Distance for comparing generative models, studying neural networks, and more!
☆51Updated 6 years ago
Alternatives and similar repositories for imd
Users that are interested in imd are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆83Updated 3 years ago
- Loss Patterns of Neural Networks☆85Updated 3 years ago
- Implementations of quasi-hyperbolic optimization algorithms.☆102Updated 5 years ago
- Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.☆110Updated 7 months ago
- 🧀 Pytorch code for the Fromage optimiser.☆125Updated last year
- ☆117Updated 6 years ago
- ☆26Updated 6 years ago
- ☆50Updated 7 years ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆51Updated 4 years ago
- Implements stochastic line search☆118Updated 2 years ago
- Learning to Initialize Neural Networks for Stable and Efficient Training☆139Updated 3 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆186Updated last year
- repository with the tutorials for MLSS Skoltech☆66Updated 5 years ago
- Code for: Implicit Competitive Regularization in GANs☆114Updated 3 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Differentiable bitonic sorting☆141Updated 5 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆38Updated 4 years ago
- The Singular Values of Convolutional Layers☆72Updated 6 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- repository with the lectures for MLSS Skoltech☆139Updated 5 years ago
- Prescribed Generative Adversarial Networks☆143Updated 5 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- Quadrature-based features for kernel approximation☆16Updated 6 years ago
- A discrete sequential VAE☆40Updated 5 years ago
- Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"☆178Updated 5 years ago
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"☆181Updated 4 years ago
- Simple implementation of the LSUV initialization in PyTorch☆58Updated last year
- ☆153Updated 5 years ago
- Structured matrices for compressing neural networks☆67Updated last year
- ☆18Updated 5 years ago