Neural Network Compression Framework for enhanced OpenVINO™ inference
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Updated
Jun 21, 2024 - Python
Neural Network Compression Framework for enhanced OpenVINO™ inference
This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contraints of the target device.
Using Deep Learning To Identify And Classify Damage In Aerial Imagery
Pytorch implementation of the paper Mixed Precision DNNs: All you need is a good parametrization.
A Natural Language Inference (NLI) model based on Transformers (BERT and ALBERT)
A Tiny Version of the Original ultralytics/yolov5
Implementation of our Pattern Recognition paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
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
Distributed, mixed-precision training with PyTorch
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
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