KarenUllrich / Tutorial-SoftWeightSharingForNNCompressionLinks
A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017
☆145Updated 8 years ago
Alternatives and similar repositories for Tutorial-SoftWeightSharingForNNCompression
Users that are interested in Tutorial-SoftWeightSharingForNNCompression are comparing it to the libraries listed below
Sorting:
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 6 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆149Updated 8 years ago
- Structured Bayesian Pruning, NIPS 2017☆74Updated 4 years ago
- Spatially Adaptive Computation Time for Residual Networks☆248Updated 2 years ago
- PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)☆126Updated 6 years ago
- Reference caffe implementation of LSUV initialization☆113Updated 7 years ago
- Source code for ``Neural Networks with Few Multiplications'' published at ICLR 2016☆81Updated 9 years ago
- 92.45% on CIFAR-10 in Torch☆174Updated 8 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆59Updated 7 years ago
- Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee☆60Updated 6 years ago
- Sparse Variational Dropout, ICML 2017☆313Updated 5 years ago
- Implementation for Trained Ternary Network.☆107Updated 8 years ago
- Efficient layer normalization GPU kernel for Tensorflow☆111Updated 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 5 years ago
- Second-order optimiser for deep networks☆76Updated 6 years ago
- Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.☆112Updated 6 years ago
- ☆79Updated 7 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- DeepArchitect: Automatically Designing and Training Deep Architectures☆146Updated 5 years ago
- Lasagne code for weight normalization☆88Updated 9 years ago
- Files to create the figures in the paper "Super-Convergence: Very Fast Training of Residual Networks Using Large Learning Rates"☆191Updated 7 years ago
- auto-tuning momentum SGD optimizer☆288Updated 6 years ago
- Tensorflow implementation of Magnet Loss from "Metric Learning for Adaptive Density Discrimination"☆95Updated 7 years ago
- Reproduction of some of the results from 'Identity Mappings in Deep Residual Networks'☆72Updated 8 years ago
- 2.86% and 15.85% on CIFAR-10 and CIFAR-100☆295Updated 6 years ago
- Accelerate Neural Net Training by Progressively Freezing Layers☆211Updated 6 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Updated 5 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- The first public PyTorch implementation of Attentive Recurrent Comparators☆146Updated 7 years ago
- ☆47Updated 5 years ago