There are 0 repository under mixed-precision-training topic.
Neural Network Compression Framework for enhanced OpenVINO™ inference
Implementation of our Pattern Recognition paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
Distributed, mixed-precision training with PyTorch
This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contraints of the target device.
A pytorch helper library for Mixed Precision Training, Initialization, Metrics and More Utilities to simplify training of deep learning models
Using Deep Learning To Identify And Classify Damage In Aerial Imagery
Let's train CIFAR 10 Pytorch with Half-Precision!
Code repository for "Reducing Underflow in Mixed Precision Training by Gradient Scaling" presented at IJCAI '20
Steel Defect Detection using U-Net. Optimising training and inference using Automatic Mixed Precision and TensorRT respectively.
demo for pytorch-distributed
Pytorch implementation of the paper Mixed Precision DNNs: All you need is a good parametrization.
This repository contains the code and reports for the course INFR11132 Machine Learning Practical. Overall Mark Achieved - 75%
A food vision app is an image classification app for 101 dishes demonstrating the power of transfer learning
This repository contains the code and the report for the coursework of INFR11031 Advanced Vision, a postgraduate course offered at The University of Edinburgh. The task was to train on limited and improve the accuracy of the ResNet-50 classifier on a small subset of the ImageNet dataset containing 50K training images and 50K test images. Achieved a mark of 74%