mitscha / strassennetsLinks
Deep learning with a multiplication budget
☆47Updated 7 years ago
Alternatives and similar repositories for strassennets
Users that are interested in strassennets are comparing it to the libraries listed below
Sorting:
- ☆47Updated 5 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Updated 5 years ago
- This is a PyTorch implementation of the Scalpel. Node pruning for five benchmark networks and SIMD-aware weight pruning for LeNet-300-100…☆41Updated 6 years ago
- PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)☆126Updated 7 years ago
- The latest version of Net-Trim which solves the actual constrained problem☆24Updated 5 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
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 6 years ago
- A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017☆146Updated 8 years ago
- Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)☆136Updated 5 years ago
- Structured Bayesian Pruning, NIPS 2017☆74Updated 5 years ago
- ☆34Updated 6 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 6 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆17Updated 4 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
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 7 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated last year
- Training neural networks with 8-bit computations☆28Updated 9 years ago
- Code for paper "Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking"☆18Updated 6 years ago
- Training deep neural networks with low precision multiplications☆64Updated 10 years ago
- LCNN: Lookup-based Convolutional Neural Network☆52Updated 8 years ago
- Test winograd convolution written in TVM for CUDA and AMDGPU☆41Updated 7 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆42Updated 6 years ago
- Feasible target propagation code for the paper "Deep Learning as a Mixed Convex-Combinatorial Optimization Problem" by Friesen & Domingos…☆28Updated 7 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- Source code for ``Neural Networks with Few Multiplications'' published at ICLR 2016☆80Updated 9 years ago
- The Singular Values of Convolutional Layers☆71Updated 7 years ago
- Distributed Learning by Pair-Wise Averaging☆52Updated 7 years ago
- This repository contains several tools useful for pytorch users.☆47Updated 6 years ago
- Second-order optimiser for deep networks☆76Updated 6 years ago
- Binarized Neural Network TF training code + C matrix / eval library.☆101Updated 7 years ago