alexfjw / prunnable-layers-pytorch
Prunable nn layers for pytorch.
☆48Updated 6 years ago
Alternatives and similar repositories for prunnable-layers-pytorch:
Users that are interested in prunnable-layers-pytorch are comparing it to the libraries listed below
- ☆57Updated 6 years ago
- Code for https://arxiv.org/abs/1810.04622☆140Updated 5 years ago
- SqueezeNet Generator☆31Updated 6 years ago
- ☆23Updated 8 years ago
- Training wide residual networks for deployment using a single bit for each weight - Official Code Repository for ICLR 2018 Published Pape…☆36Updated 4 years ago
- PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)☆124Updated 6 years ago
- [ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895☆124Updated 6 years ago
- Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee☆59Updated 6 years ago
- An improved version of SqueezeNet networks https://github.com/DeepScale/SqueezeNet☆37Updated 7 years ago
- "Learning Rate Dropout" in PyTorch☆34Updated 5 years ago
- Compare outputs between layers written in Tensorflow and layers written in Pytorch☆72Updated 6 years ago
- Github repo for my experiments with the orthogonal convolution idea☆22Updated 7 years ago
- Training neural networks with 8-bit computations☆28Updated 8 years ago
- A Caffe2 implementation of ShuffleNet V2.☆25Updated 6 years ago
- All convolution operators replaced with coordinate convolutions☆36Updated 6 years ago
- ☆16Updated 8 years ago
- Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.☆77Updated 6 years ago
- Evaluating efficiency of several types of convolutions☆30Updated 7 years ago
- A Gluon implementation of Mnasnet☆59Updated 6 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- For the reproduction of research by Agostinelli et al. Learning Activation Functions to Improve Deep Neural Networks. http://arxiv.org/ab…☆19Updated 9 years ago
- Implementation of tools to control and monitor layer rotation in different DL libraries☆40Updated 5 years ago
- SimpNet Paper Files (Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet)☆67Updated 6 years ago
- Various implementations and experimentation for deep neural network model compression☆24Updated 6 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- A new technique to increase receptive field in convolutional neural networks without losing so much information.☆30Updated 6 years ago
- Structured Bayesian Pruning, NIPS 2017☆73Updated 4 years ago
- TensorFlow implementation of PNASNet-5 on ImageNet☆101Updated 6 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- This is an example of how to train a MNIST network in Python and run it in c++ with pytorch 1.0☆96Updated 6 years ago