universome / loss-patternsLinks
Loss Patterns of Neural Networks
β86Updated 4 years ago
Alternatives and similar repositories for loss-patterns
Users that are interested in loss-patterns are comparing it to the libraries listed below
Sorting:
- Implements stochastic line searchβ118Updated 2 years ago
- π© Pytorch and Jax code for the Madam optimiser.β53Updated 4 years ago
- A lightweight library for tensorflow 2.0β65Updated 6 years ago
- Implementations of quasi-hyperbolic optimization algorithms.β102Updated 5 years ago
- TorchΓ©lie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.β110Updated last week
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networksβ84Updated 4 years ago
- Basic experiment framework for tensorflow.β91Updated 4 years ago
- β61Updated 2 years ago
- Differentiable bitonic sortingβ141Updated 5 years ago
- Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"β179Updated 5 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NNβ68Updated 6 years ago
- TBAβ77Updated 6 years ago
- π§ Pytorch code for the Fromage optimiser.β129Updated last year
- PyTorch functions and utilities to make your life easierβ194Updated 4 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088β59Updated 6 years ago
- The Singular Values of Convolutional Layersβ72Updated 7 years ago
- This repository is no longer maintained. Checkβ81Updated 5 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.β102Updated 6 years ago
- Code for: Implicit Competitive Regularization in GANsβ116Updated 3 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young lossesβ193Updated 2 years ago
- β45Updated 6 years ago
- Code for Neural Arithmetic Units (ICLR) and Measuring Arithmetic Extrapolation Performance (SEDL|NeurIPS)β147Updated 4 years ago
- Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expeβ¦β148Updated 2 years ago
- Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)β136Updated 2 weeks ago
- Equi-normalization of Neural Networksβ116Updated 6 years ago
- Notes from NeurIPS 2019β29Updated 6 years ago
- Official code for the Stochastic Polyak step-size optimizerβ139Updated last year
- Code for MSID, a Multi-Scale Intrinsic Distance for comparing generative models, studying neural networks, and more!β52Updated 6 years ago
- Odds and Ends and Things I've implemented.β78Updated 6 years ago
- The Limited Multi-Label Projection Layerβ59Updated last year