Pytorch implementation of the paper Mixed Precision DNNs: All you need is a good parametrization.
-
Updated
Feb 8, 2024 - Python
Pytorch implementation of the paper Mixed Precision DNNs: All you need is a good parametrization.
A Tiny Version of the Original ultralytics/yolov5
demo for pytorch-distributed
[CVPR 2015] FaceNet: A Unified Embedding for Face Recognition and Clustering
Code repository for "Reducing Underflow in Mixed Precision Training by Gradient Scaling" presented at IJCAI '20
Using Deep Learning To Identify And Classify Damage In Aerial Imagery
Let's train CIFAR 10 Pytorch with Half-Precision!
A pytorch helper library for Mixed Precision Training, Initialization, Metrics and More Utilities to simplify training of deep learning models
This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contraints of the target device.
Distributed, mixed-precision training with PyTorch
A Natural Language Inference (NLI) model based on Transformers (BERT and ALBERT)
Implementation of our Pattern Recognition paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
Neural Network Compression Framework for enhanced OpenVINO™ inference
Add a description, image, and links to the mixed-precision-training topic page so that developers can more easily learn about it.
To associate your repository with the mixed-precision-training topic, visit your repo's landing page and select "manage topics."