mixed-precision-training

There are 0 repository under mixed-precision-training topic.

openvinotoolkit / nncf
Neural Network Compression Framework for enhanced OpenVINO™ inference
bert classification compression deep-learning genai llm mixed-precision-training nlp object-detection onnx openvino pruning pytorch quantization quantization-aware-training semantic-segmentation sparsity tensorflow transformers
Language:Python 1077
voldemortX / DST-CBC
Implementation of our Pattern Recognition paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
cifar cityscapes mixed-precision-training pascal-voc pytorch semantic-segmentation semi-supervised-learning tensorboard
Language:Python 139
yg211 / bert_nli
A Natural Language Inference (NLI) model based on Transformers (BERT and ALBERT)
bert natural-language-inference natural-language-processing albert nli-model nli mixed-precision-training
Language:Python 135
richardkxu / distributed-pytorch
Distributed, mixed-precision training with PyTorch
computer-vision deep-learning distributed-training horovod imagenet mixed-precision-training nvidia-apex pytorch tensorboard
Language:Python 90
mrusci / training-mixed-precision-quantized-networks
This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contraints of the target device.
mixed-precision-training qnn edge-ai quantized-neural-networks integer-arithmetic low-power-mcu pytorch
Language:Python 49
TigerJeffX / Transformers-in-pytorch
cifar10 distributed-data-parallel imagenet mixed-precision-training multi30k neural-machine-translation pytorch-implementation transformer vision-transformer
Language:Python 25
johnolafenwa / TorchFusion-Utils
A pytorch helper library for Mixed Precision Training, Initialization, Metrics and More Utilities to simplify training of deep learning models
pytorch deeplearning python machine-learning mixed-precision-training nvidia metrics initializer
Language:Python 15
nimaafshar / metadamagenet
Using Deep Learning To Identify And Classify Building Damage
computer-vision convolutional-neural-networks deep-learning mixed-precision-training object-detection pytorch pytorch-cnn semantic-segmentation unet unet-image-segmentation vision-transformer
Language:Python 15
kentaroy47 / pytorch-cifar10-fp16
Let's train CIFAR 10 Pytorch with Half-Precision!
pytorch fp16 cifar10 training cnn mixed-precision mixed-precision-training
Language:Python 13
Kovelja009 / mixed_precision_dnn_pytorch
Pytorch implementation of the paper Mixed Precision DNNs: All you need is a good parametrization.
mixed-precision-training quantization
Language:Python 6
kumasento / gradient-scaling
Code repository for "Reducing Underflow in Mixed Precision Training by Gradient Scaling" presented at IJCAI '20
deep-learning mixed-precision-training computer-vision chainer chainercv ijcai2020
Language:Python 6
SarthakGarg19 / Severstal-Steel-Defect-Detection
Steel Defect Detection using U-Net. Optimising training and inference using Automatic Mixed Precision and TensorRT respectively.
deeplearning kaggle mixed-precision-training pytorch tensorrt torch-onnx-trt unet-pytorch
Language:HTML 6
ZJCV / facenet
[CVPR 2015] FaceNet: A Unified Embedding for Face Recognition and Clustering
facenet zcls multi-gpu mixed-precision-training pytorch
Language:Python 4
zjykzj / pytorch-distributed
demo for pytorch-distributed
pytorch distributed amp mixed-precision-training hybrid-precision-training distributeddataparallel distributed-data-parallel
Language:Python 4
saqibjaved1 / MQAT
[TMLR, 2024] Modular Quantization-Aware Training for 6D Object Pose Estimation
6dof-pose mixed-precision-training model-compression quantization-aware-training
Language:Python 3
zjykzj / YOLOv5
A Tiny Version of the Original ultralytics/yolov5
distributed-data-parallel mixed-precision-training mosaic onnx opencv python pytorch yolo yolov3 yolov5
Language:Python 3
NamanMakkar / UoE-Machine-Learning-Practical-INFR11132
This repository contains the code and reports for the course INFR11132 Machine Learning Practical. Overall Mark Achieved - 75%
cnn computer-vision cspnet deep-learning efficientnet efficientnetv2 pytorch resnet vgg16 vggnet mixed-precision-training
Language:Jupyter Notebook 2
proutkarsh3104 / Chess-AI-Utkarsh
This project implements a neural network-based chess AI using TensorFlow and Keras. The model uses convolutional layers and residual blocks to predict the best chess moves and evaluate board states. It combines policy and value predictions to create a robust chess-playing AI, inspired by AlphaZero's architecture.
chess-ai data-generators deep-learning mixed-precision-training neural-networks reinforcement-learning-concepts residual-networks tensorflow board-representation-in-machine-learning fen-parsing python
Language:Python 1
wikifoodia
SaketMunda / wikifoodia
A food vision app is an image classification app for 101 dishes demonstrating the power of transfer learning
fine-tuning image-classification mixed-precision-training tensorflow transfer-learning chatgpt-api
Language:Jupyter Notebook 1
zjykzj / YOLOv2
[CVPR 2017]YOLO9000: Better, Faster, Stronger
apex coco darknet darknet19 darknet53 distributed-data-parallel mixed-precision-training nvidia-docker pascal-voc python pytorch yolo yolov2 yolov2-loss yolov5
Language:Python 1
Xza85hrf / Flag_Prediction_Project
This application predicts the name of a country (or countries) based on an input flag image. It uses advanced image processing techniques and deep learning models built with PyTorch to classify flags accurately.
cross-validation cuda data-augmentation docker efficientnetb0 flag-recognition image-classification machine-learning mixed-precision-training mobilenetv2 python pytorch resnet resnet-50 transfer-learning
Language:Python 0
harrycallahan117 / mri-tumor-analysis
This repository contains a Convolutional Neural Network (CNN) model designed for brain tumor classification using MRI images. The model employs multiple convolutional layers, batch normalization, dropout for regularization, and fully connected layers to achieve high accuracy.
cnn-classification deep-learning flask full-stack git github image-classification keras mixed-precision-training model-training nextjs python react tensorflow
Language:Python
NamanMakkar / UoE-INFR11031-Advanced-Vision-CW-21-22
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%
autoaugment cutmix-augmentation imagenet limited-data mixup-cutmix randaugment resnet gelu mish adversarial-training swish mixed-precision-training
Language:Jupyter Notebook

mixed-precision-training

openvinotoolkit / nncf

voldemortX / DST-CBC

yg211 / bert_nli

richardkxu / distributed-pytorch

mrusci / training-mixed-precision-quantized-networks

TigerJeffX / Transformers-in-pytorch

johnolafenwa / TorchFusion-Utils

nimaafshar / metadamagenet

kentaroy47 / pytorch-cifar10-fp16

Kovelja009 / mixed_precision_dnn_pytorch

kumasento / gradient-scaling

SarthakGarg19 / Severstal-Steel-Defect-Detection

ZJCV / facenet

zjykzj / pytorch-distributed

saqibjaved1 / MQAT

zjykzj / YOLOv5

NamanMakkar / UoE-Machine-Learning-Practical-INFR11132

proutkarsh3104 / Chess-AI-Utkarsh

SaketMunda / wikifoodia

zjykzj / YOLOv2

Xza85hrf / Flag_Prediction_Project

harrycallahan117 / mri-tumor-analysis

NamanMakkar / UoE-INFR11031-Advanced-Vision-CW-21-22