aliutkus / torchpercentileLinks
Percentile computation for pytorch
☆21Updated 5 years ago
Alternatives and similar repositories for torchpercentile
Users that are interested in torchpercentile are comparing it to the libraries listed below
Sorting:
- Piecewise Linear Functions (PWL) implementation in PyTorch☆56Updated 3 years ago
- Implementation of the reversible residual network in pytorch☆105Updated 3 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 6 years ago
- ☆47Updated 6 years ago
- Code base for SRSGD.☆28Updated 5 years ago
- Delta Orthogonal Initialization for PyTorch☆18Updated 7 years ago
- Matrix square root with gradient support for PyTorch☆69Updated 3 years ago
- [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.☆129Updated 3 years ago
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Updated 5 years ago
- ☆41Updated 2 years ago
- Backpropagation-Friendly-Eigendecomposition☆73Updated 5 years ago
- Deep Isometric Learning for Visual Recognition (ICML 2020)☆143Updated 3 years ago
- DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures☆32Updated 5 years ago
- Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).☆113Updated 6 years ago
- [NeurIPS 2020 Oral] Is normalization indispensable for training deep neural networks?☆34Updated 3 years ago
- Non official pytorch implementation of i-Resnet, invertible residual networks.☆25Updated 3 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 5 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆77Updated last year
- Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network☆63Updated 4 years ago
- ☆30Updated 5 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆46Updated 5 years ago
- A fast data loader for ImageNet on PyTorch.☆18Updated 6 years ago
- ☆34Updated 6 years ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆105Updated 5 years ago
- ☆69Updated 5 years ago
- PyTorch implementation of IRMAE https//arxiv.org/abs/2010.00679☆48Updated 3 years ago
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆208Updated last year
- A Re-implementation of Fixed-update Initialization☆155Updated 6 years ago
- Code for "Online Learned Continual Compression with Adaptive Quantization Modules"☆27Updated 5 years ago