Neural Network Compression Framework for enhanced OpenVINO™ inference
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Updated
Jul 19, 2024 - Python
Neural Network Compression Framework for enhanced OpenVINO™ inference
A Natural Language Inference (NLI) model based on Transformers (BERT and ALBERT)
Distributed, mixed-precision training with PyTorch
Implementation of our Pattern Recognition paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
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
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
demo for pytorch-distributed
[CVPR 2015] FaceNet: A Unified Embedding for Face Recognition and Clustering
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 Tiny Version of the Original ultralytics/yolov5
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