image-net

There are 0 repository under image-net topic.

NVlabs / FasterViT
[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention
ade20k backbone deep-learning image-net pre-trained-model self-attention vision-transformer visual-recognition coco object-detection semantic-segmentation foundation-models image-classification
Language:Python 886
lehduong / kesi
Knowledge distillation from Ensembles of Iterative pruning (BMVC 2020)
convolutional-neural-networks deep-learning filter-pruning image-net iterative-pruning network-pruning pytorch structured-pruning unstructured-pruning weight-pruning
Language:Jupyter Notebook 25
motokimura / attention_branch_network_demo
Attention Branch Network demonstration
deep-learning attention-map image-net pytorch
Language:Jupyter Notebook 8
celestialtaha / ConvNeXt-tf-keras
tf-keras re-implementation of ConvNeXt (https://arxiv.org/abs/2201.03545) from Facebook Research.
2020s-convnets classification convnext deep-learning facebook-research image-net keras modernized-conv tensorflow2
Language:Jupyter Notebook 3
charumakhijani / deep-learning
deep-learning neural-networks artificial-neural-networks churn-modelling cnn convolutional-neural-networks image-net image-processing rnn lstm google-stock-price rbm restricted-boltzmann-machine movie-rating-prediction pytorch self-organizing-map credit-card-fraud-detection auto-encoder movie-ratings neural-networks-from-scratch
Language:Jupyter Notebook 3
batiukmaks / Dog-Breed-Image-Classification
This repository contains code for an image classification project that focuses on classifying 70 different dog breeds. The project was developed as a final project for Deep Learning school, aiming to demonstrate the application of deep learning techniques for multi-class classification tasks.
classification computer-vision image-net neural-network pytorch resnet-50
Language:Jupyter Notebook 1
Emrys-Hong / exclusive-image-kaggle
kaggle-competition image-net
Language:Jupyter Notebook 1
Kalyani011 / DeepLearning-Logistic_Regression
Logistic Regression Implementations - ML, Shallow NN and Enhanced Deep Neural Network for Structured and Unstructured Data Classification
deep-neural-network image-net logistic-regression machine-learning-classification shallow-neural-network stochastic-gradient-descent backpropagation-momentum
Language:Jupyter Notebook 1
AmitSingh2903 / CovidXNet
In this project, we aimed to develop a deep learning model for accurately classifying X-ray images as either pneumonia or COVID cases. The objective was to compare accuracy of different types of CNN, where we used two: DenseNet and MobileNetV2 and acheived an accuracy of something close to 54.5% and later using feature scaling it came close to 85%.
cnn-classification confusion-matrix-heatmap deep-learning image-net neural-network pre-train-model
Language:Jupyter Notebook 0
forecasting-with-time-series-imaging
kl-lab / forecasting-with-time-series-imaging
Forecasting with time series imaging
forecasting image-net cnn
Language:Python 0
pokarats / HLCV_CNN
CNN Implementation and optimization in comparison to Image-Net Pre-trained on CIFAR-10 Dataset Image Classification
cnn image-classification data-augmentation cifar-10 image-net
Language:Python 0
saworz / object-classification-vgg16
Simple classification script that uses VGG16. Learned on image-net
classification image-net object-classification python vgg16
Language:Python

image-net

NVlabs / FasterViT

lehduong / kesi

motokimura / attention_branch_network_demo

celestialtaha / ConvNeXt-tf-keras

charumakhijani / deep-learning

batiukmaks / Dog-Breed-Image-Classification

Emrys-Hong / exclusive-image-kaggle

Kalyani011 / DeepLearning-Logistic_Regression

AmitSingh2903 / CovidXNet

kl-lab / forecasting-with-time-series-imaging

pokarats / HLCV_CNN

saworz / object-classification-vgg16