Training neural networks with 8-bit computations
☆28Apr 11, 2016Updated 10 years ago
Alternatives and similar repositories for 8-bit-deep-learning
Users that are interested in 8-bit-deep-learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Training deep neural networks with low precision multiplications☆64Jul 16, 2015Updated 10 years ago
- shufflenet for object detection☆24Aug 2, 2017Updated 8 years ago
- ☆47Feb 4, 2020Updated 6 years ago
- Fast binary matrix product on CPU☆10Feb 11, 2016Updated 10 years ago
- This is a really simple compression of Caffe Model☆24Apr 23, 2017Updated 9 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- MNSIM version 1.1. We have uploaded a high-level modeling tool and please use this version: https://github.com/Zhu-Zhenhua/MNSIM_Python☆12Dec 12, 2019Updated 6 years ago
- Caffee2 - A curated list of dedicated resources http://caffe2.ai☆16Apr 19, 2017Updated 9 years ago
- Computational Memory Neural Network Compiler☆11Aug 11, 2021Updated 4 years ago
- Quantized training method for RRAM-based systems.☆12Sep 24, 2018Updated 7 years ago
- Some deep learning models written with mxnet and C++11.☆12Feb 6, 2018Updated 8 years ago
- Robust Tracking Using Region Proposal Networks☆13Jun 10, 2017Updated 8 years ago
- Train Neuronal networks to automate your home☆19Mar 1, 2023Updated 3 years ago
- Pytorch implementation of "Striving for Simplicity: The All Convolutional Net" (https://arxiv.org/abs/1412.6806)☆16Jul 4, 2018Updated 7 years ago
- Web上に公開されている小説をスクレイピングして青空文庫形式のテキストにする☆19Feb 9, 2017Updated 9 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- scripts and data for ACL 16 paper☆14Jul 5, 2016Updated 9 years ago
- first-order deep learning accelerator model☆22Nov 27, 2017Updated 8 years ago
- A regularly updated comparison of CNN architectures in terms of accuracy, operations and model size☆45Jan 23, 2019Updated 7 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25May 1, 2019Updated 7 years ago
- An efficient framework for convolutional neural networks☆279Aug 30, 2023Updated 2 years ago
- 16-APSK DVB-S2 Transmitter for BladeRF☆22Jul 20, 2022Updated 3 years ago
- ☆13Oct 8, 2021Updated 4 years ago
- Uncertainty interpretations of the neural network☆32May 3, 2018Updated 8 years ago
- Latest PyTorch Implementation of DeltaGRU & DeltaLSTM that Exploits Temporal Sparsity in Sequential Data☆17Sep 30, 2023Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Quantized Neural Networks - networks trained for inference at arbitrary low precision.☆146Nov 28, 2017Updated 8 years ago
- Training vision models with full-batch gradient descent and regularization☆40Feb 14, 2023Updated 3 years ago
- A RRAM addon for the NCSU FreePDK 45nm☆25Jan 10, 2022Updated 4 years ago
- Architecture for RRAM multilevel programming☆18Sep 6, 2018Updated 7 years ago
- Caffe re-implementation of ShuffleNet☆106Apr 1, 2018Updated 8 years ago
- Transfer learning in Caffe: example on how to train CaffeNet on custom dataset