PiotrDabkowski / torchpwlLinks
Piecewise Linear Functions (PWL) implementation in PyTorch
☆57Updated 3 years ago
Alternatives and similar repositories for torchpwl
Users that are interested in torchpwl are comparing it to the libraries listed below
Sorting:
- Code base for SRSGD.☆28Updated 5 years ago
- [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.☆130Updated 4 years ago
- Percentile computation for pytorch☆21Updated 5 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- PyTorch and Torch implementation for our accepted CVPR 2020 paper (Oral): Controllable Orthogonalization in Training DNNs☆25Updated 5 years ago
- ☆41Updated 4 years ago
- Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection☆22Updated 4 years ago
- DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures☆32Updated 5 years ago
- Differentiable Optimizers with Perturbations in Pytorch☆69Updated 4 years ago
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Updated 6 years ago
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆44Updated 6 years ago
- PyTorch implementation of HashedNets☆38Updated 2 years ago
- Official NumPy Implementation of Deep Networks from the Principle of Rate Reduction (2021)☆60Updated 4 years ago
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 6 years ago
- Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing …☆51Updated 3 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆47Updated 5 years ago
- Codes for Understanding Architectures Learnt by Cell-based Neural Architecture Search☆28Updated 5 years ago
- Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).☆115Updated 6 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆90Updated 2 years ago
- ☆42Updated 2 years ago
- Reparameterize your PyTorch modules☆71Updated 5 years ago
- Automatic learning-rate scheduler☆46Updated 4 years ago
- Official implementation of "UNAS: Differentiable Architecture Search Meets Reinforcement Learning", CVPR 2020 Oral☆63Updated 2 years ago
- Code for "Online Learned Continual Compression with Adaptive Quantization Modules"☆27Updated 5 years ago
- Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)☆64Updated last year
- Code for Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot☆42Updated 5 years ago
- Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."☆22Updated 6 years ago
- Code for BlockSwap (ICLR 2020).☆33Updated 4 years ago
- Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)☆53Updated 4 years ago
- Encodings for neural architecture search☆29Updated 4 years ago