anokland / local-lossLinks
PyTorch code for training neural networks without global back-propagation
☆165Updated 5 years ago
Alternatives and similar repositories for local-loss
Users that are interested in local-loss are comparing it to the libraries listed below
Sorting:
- ☆83Updated 5 years ago
- [ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"☆152Updated 3 years ago
- A drop-in replacement for CIFAR-10.☆243Updated 4 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Updated 5 years ago
- [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.☆129Updated 3 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- A Re-implementation of Fixed-update Initialization☆155Updated 6 years ago
- Scripts for Imagenet 32 dataset☆153Updated 4 years ago
- Learning Sparse Neural Networks through L0 regularization☆244Updated 5 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆274Updated 2 years ago
- Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning☆237Updated 6 years ago
- ☆144Updated 2 years ago
- an implementation of L0 regularization with PyTorch☆57Updated 7 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
- Implementation of soft parameter sharing for neural networks☆69Updated 4 years ago
- Net2Net implementation on PyTorch for any possible vision layers.☆39Updated 7 years ago
- pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support☆93Updated 7 years ago
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆39Updated 3 years ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆105Updated 5 years ago
- This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery …☆51Updated last year
- Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights☆182Updated 6 years ago
- ☆45Updated 5 years ago
- Implementing Randomly Wired Neural Networks for Image Recognition, Using CIFAR-10 dataset, CIFAR-100 dataset☆88Updated 6 years ago
- Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)☆137Updated 5 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆35Updated 5 years ago
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆223Updated 5 years ago
- Delta Orthogonal Initialization for PyTorch☆18Updated 7 years ago
- Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations☆285Updated 2 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆128Updated last year
- A machine learning library for PyTorch☆93Updated 3 years ago