MatthieuCourbariaux / deep-learning-multipliersView external linksLinks
Training deep neural networks with low precision multiplications
☆64Jul 16, 2015Updated 10 years ago
Alternatives and similar repositories for deep-learning-multipliers
Users that are interested in deep-learning-multipliers are comparing it to the libraries listed below
Sorting:
- Training neural networks with 8-bit computations☆28Apr 11, 2016Updated 9 years ago
- Training Deep Neural Networks with binary weights during propagations☆382Feb 15, 2016Updated 10 years ago
- Caffe: a fast open framework for deep learning.☆14Aug 26, 2015Updated 10 years ago
- Fast binary matrix product on CPU☆10Feb 11, 2016Updated 10 years ago
- A very simple variant of adversarial training that yields excellent results on MNIST☆12Mar 19, 2016Updated 9 years ago
- miniplaces2 deep residual network in neon☆16Feb 5, 2016Updated 10 years ago
- Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1☆1,064Nov 28, 2018Updated 7 years ago
- Source code for ``Neural Networks with Few Multiplications'' published at ICLR 2016☆80Apr 28, 2016Updated 9 years ago
- ☆404Mar 15, 2019Updated 6 years ago
- Keras implementation of the article "Solving internal covariate shift in deep learning with linked neurons"☆13Dec 8, 2017Updated 8 years ago
- Ristretto: Quantization and compression of large AI models. Author: Philipp Gysel.☆288Jan 24, 2026Updated 3 weeks ago
- experimental binary net implementation in chainer☆102Feb 14, 2016Updated 10 years ago
- ImageNet classification using binary Convolutional Neural Networks☆866Dec 5, 2017Updated 8 years ago
- Theano implementation of the Neural GPU☆15Jan 5, 2016Updated 10 years ago
- A fast deep neural network library (CPU) for speech recognition☆86Mar 20, 2019Updated 6 years ago
- Collection of useful, re-used routines.☆45Jul 15, 2017Updated 8 years ago
- DropNeuron: Simplifying the Structure of Deep Neural Networks☆59Jul 2, 2016Updated 9 years ago
- Implementation of condnets☆16Apr 21, 2016Updated 9 years ago
- Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout th…☆11Jun 9, 2016Updated 9 years ago
- A simple baseline model set using MXNet for Kaggle StateFarm driver position identification☆27Jul 1, 2016Updated 9 years ago
- ColTraIn HBFP Training Emulator☆16Feb 16, 2023Updated 2 years ago
- ☆33May 30, 2017Updated 8 years ago
- residual-SqueezeNet☆155Mar 15, 2019Updated 6 years ago
- ☆47Feb 4, 2020Updated 6 years ago
- (New version is out: https://github.com/hpi-xnor/BMXNet-v2) BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet☆351Nov 18, 2019Updated 6 years ago
- ☆69Dec 19, 2018Updated 7 years ago
- ☆45Apr 14, 2017Updated 8 years ago
- High Efficiency Convolution Kernel for Maxwell GPU Architecture☆137May 8, 2017Updated 8 years ago
- Caffe re-implementation of dynamic network surgery.☆18Jun 15, 2018Updated 7 years ago
- a forked copy of caffe from Berkeley☆21Oct 8, 2015Updated 10 years ago
- PyTorch bindings for openai-gemm☆20Feb 6, 2017Updated 9 years ago
- Code example for the ICLR 2018 oral paper☆152May 31, 2018Updated 7 years ago
- Low-precision matrix multiplication☆1,832Jan 29, 2024Updated 2 years ago
- ☆23Nov 24, 2018Updated 7 years ago
- ☆55Feb 5, 2016Updated 10 years ago
- An efficient framework for convolutional neural networks☆278Aug 30, 2023Updated 2 years ago
- Proof-of-Concept CNN in Halide☆22Aug 4, 2016Updated 9 years ago
- ☆19Nov 2, 2016Updated 9 years ago
- A Language for Closed-form High-level ARchitecture Modeling☆21Feb 10, 2020Updated 6 years ago