slowbull / DDGLinks
A PyTorch implementation of the paper "Decoupled Parallel Backpropagation with Convergence Guarantee"
☆29Updated 7 years ago
Alternatives and similar repositories for DDG
Users that are interested in DDG are comparing it to the libraries listed below
Sorting:
- ☆31Updated 5 years ago
- Net2Net implementation on PyTorch for any possible vision layers.☆39Updated 8 years ago
- ☆144Updated 2 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 7 years ago
- Compressing Neural Networks using the Variational Information Bottleneck☆66Updated 3 years ago
- SNIP: SINGLE-SHOT NETWORK PRUNING☆31Updated 9 months ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆105Updated 5 years ago
- ☆77Updated 6 years ago
- A compressed adaptive optimizer for training large-scale deep learning models using PyTorch☆26Updated 6 years ago
- ☆83Updated 5 years ago
- PyTorch code for training neural networks without global back-propagation☆165Updated 6 years ago
- SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY☆116Updated 6 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 5 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆36Updated 5 years ago
- Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)☆136Updated this week
- Scripts for Imagenet 32 dataset☆154Updated 4 years ago