GitHub topics: efficientnet | Ecosyste.ms: Repos

gehad-Ahmed30/Brain-Tumor-Deep-Learning-

The Brain Tumor Classification project uses a deep learning model to identify MRI images of the brain as Glioma, Meningioma, No Tumor, or Pituitary. It features a web application built with Streamlit that allows users to upload images and receive accurate predictions.

Language: Jupyter Notebook - Size: 1.84 MB - Last synced at: about 14 hours ago - Pushed at: about 15 hours ago - Stars: 0 - Forks: 0

lloydpa18/VerifyVision-Pro

VerifyVision-Pro是一个全面的图像伪造篡改检测解决方案，利用深度学习（deep learning）和计算机视觉技术（cv）精确识别各类图像篡改，包括deepfake、AI生成内容、拼接操作和复制-移动篡改。基于PyTorch实现，集成了从数据处理、模型训练到部署的完整工作流程。

Language: Python - Size: 475 KB - Last synced at: about 22 hours ago - Pushed at: about 23 hours ago - Stars: 2 - Forks: 0

ismaylovvm/AI-Brain-Stroke-detection-Segmentation

Stroke Detection and Segmentation using AI – Image classification and segmentation models (EfficientNet, U-Net) for medical brain scan analysis.

Language: Python - Size: 254 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0

BusraRafa/Deep-Brain-Tumor-Detection-Scan-Web

Deep Brain Tumor Scan Web service. It uses deep learning for analyzing medical images to predict brain tumors, all accessible via a user-friendly web interface.

Language: Jupyter Notebook - Size: 27.7 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

KwonNayeon/used-car-model-classification

Used Car Model Classification Project

Size: 340 KB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

Rakgnar/Global-AI-Kaggle-Hackathon-2025-Elucidata

This repository offers a deep learning solution for predicting spatial cell-type compositions from histology images, achieving a top 204 rank in the Global AI Kaggle Hackathon 2025. Explore the code and methodologies used to extract and analyze image data effectively. 🐱💻📊

Language: Python - Size: 804 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

hypga/deepfake_detection

This repository offers tools for detecting DeepFakes using a hybrid CNN–LSTM model. Explore the code to train and evaluate on popular datasets like DFDC and AvLips. 🐙✨

Size: 3.91 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 4 - Forks: 0

ZFTurbo/timm_3d

PyTorch Volume Models for 3D data

Language: Python - Size: 1.72 MB - Last synced at: about 9 hours ago - Pushed at: 11 months ago - Stars: 63 - Forks: 5

huggingface/pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Language: Python - Size: 27 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 34,498 - Forks: 4,937

rwightman/efficientdet-pytorch

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

Language: Python - Size: 318 KB - Last synced at: about 18 hours ago - Pushed at: 10 months ago - Stars: 1,627 - Forks: 300

leondgarse/Keras_insightface

Insightface Keras implementation

Language: Python - Size: 46.1 MB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 249 - Forks: 57

RahulSaini02/pytorch-foodvision-101

FoodVision 101 is a deep learning project built with PyTorch and Gradio that classifies food images. It demonstrates end-to-end workflow from dataset processing, model training (EfficientNetB2 and ViT), evaluation, and deployment using Hugging Face Spaces.

Language: Jupyter Notebook - Size: 2.53 MB - Last synced at: 8 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

batmanlab/Mammo-CLIP

[MICCAI 2024, top 11%] Official Pytorch implementation of Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography

Language: Python - Size: 2.96 MB - Last synced at: 10 days ago - Pushed at: about 1 month ago - Stars: 63 - Forks: 20

Aldiwildan77/cataract-classification

Thesis for cataract classification research (EfficientNet b0 - b7), previously using CNN, RestNet, etc.

Language: Jupyter Notebook - Size: 5.31 MB - Last synced at: 4 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

ekzhang/fastseg

📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance

Language: Python - Size: 957 KB - Last synced at: 13 days ago - Pushed at: about 4 years ago - Stars: 354 - Forks: 33

hyperion-ml/hyperion

Python toolkit for speech processing

Language: Python - Size: 154 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 69 - Forks: 21

muhammadhamzaazhar/Food-Classification-using-Deep-Learning

Food Vision is a deep learning-based food classification project. It leverages CNNs and computer vision techniques to classify food items from images using Keras/Tensorflow

Language: Jupyter Notebook - Size: 13.5 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 1 - Forks: 0

al-roberts-computing/lung-classification-pytorch-lightning

This repository contains an IPython Notebook detailing the process of classifying X-ray lung images into 4 discrete categories.

Language: Jupyter Notebook - Size: 218 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

abrahamkoloboe27/Fruits-Recognition-Training

Projet de Classification d'Images de Fruits

Language: Jupyter Notebook - Size: 579 MB - Last synced at: 6 days ago - Pushed at: 8 months ago - Stars: 10 - Forks: 2

rwightman/gen-efficientnet-pytorch

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

Language: Python - Size: 203 KB - Last synced at: about 9 hours ago - Pushed at: about 1 year ago - Stars: 1,572 - Forks: 214

msikorski93/Retinal-Vessel-Segmentation-Using-Deep-Learning

Retinal vessel segmentation is the task of segmenting vessels in retina imagery. This binary task was performed with a U-Net network.

Language: Jupyter Notebook - Size: 1.45 MB - Last synced at: 6 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

AhmedNasser1601/Plant-Disease-Prediction

Plant Disease Prediction Using Deep Learning. (Graduation Project 2023) Bioinformatics, Faculty of Computer and Information Science at Ain Shams University

Language: JavaScript - Size: 7.71 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 16 - Forks: 10

noczero/car-state-components-multi-labels-classification

This repository hosts projects for a deep learning model that identifies physical car changes via a real-time 3D web interface, covering dataset creation, model training (classifier and vision language), backend, and frontend single-page application development.

Language: Jupyter Notebook - Size: 171 MB - Last synced at: 8 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

tae898/room-classification

Room type classification

Language: Jupyter Notebook - Size: 12.4 MB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 13 - Forks: 4

LolipopJ/dupimg-finder

A tool to find duplicate image pairs or the most similar images of target image in your file system.

Language: TypeScript - Size: 911 KB - Last synced at: 23 days ago - Pushed at: 24 days ago - Stars: 1 - Forks: 0

gmalivenko/awesome-computer-vision-models

A list of popular deep learning models related to classification, segmentation and detection problems

Size: 103 KB - Last synced at: 4 days ago - Pushed at: about 4 years ago - Stars: 524 - Forks: 93

QendresaVisoka/AIRA

AI-powered assistant developed to support radiologists in the detection and segmentation of breast cancer in mammogram images

Language: Jupyter Notebook - Size: 584 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

NhanPhamThanh-IT/Fingerprint-Matching-System 📦

This project presents a fingerprint matching system utilizing deep learning. It features multiple models, including VGG-based, SENet, CBAM, Self-Attention, and Dual-Attention architectures. Pre-trained MobileNet models with Self-Attention and SENet are also included. A web application allows for easy demonstration of the model's capabilities.

Language: Python - Size: 25.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

Romilagarwal/diabetic_retinoplasty

A hybrid deep learning framework for automated diabetic retinopathy detection combining EfficientNetB0 with Swin Transformer attention mechanisms. Features Bayesian uncertainty quantification through Monte Carlo Dropout, explainable AI visualizations with Grad-CAM, and specialized preprocessing techniques.

Language: Python - Size: 52.6 MB - Last synced at: 3 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

bumble-tech/private-detector

Bumble's Private Detector - a pretrained model for detecting lewd images

Language: Python - Size: 60.5 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 1,329 - Forks: 99

Chandanalh/pytorch-foodvision-mini

Food image classification using PyTorch with TinyVGG and EfficientNetB0 on a subset of the Food101 dataset.

Language: Jupyter Notebook - Size: 9.59 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

GSAUC3/bachelors-project

Classification of Retinal Fundus Images for Diabetic Retinopathy using Deep Learning @ ISI Kolkata

Language: Jupyter Notebook - Size: 17.1 MB - Last synced at: 25 days ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 1

d-li14/efficientnetv2.pytorch

PyTorch implementation of EfficientNetV2 family

Language: Python - Size: 20.5 KB - Last synced at: 30 days ago - Pushed at: over 3 years ago - Stars: 474 - Forks: 94

levisstrauss/Advanced-Food-Classification-System-EfficientNetB2

Computer vision project that classifies 101 food categories with 80.2% accuracy using fine-tuned EfficientNetB2 and PyTorch. Features interactive Gradio UI, optimized inference (~100ms/image), and strategic training on 20% of Food101 dataset for efficient resource utilization.

Language: Python - Size: 3.03 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

zylo117/Yet-Another-EfficientDet-Pytorch

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

Language: Jupyter Notebook - Size: 8.65 MB - Last synced at: 27 days ago - Pushed at: over 3 years ago - Stars: 5,247 - Forks: 1,263

RangiLyu/nanodet

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

Language: Python - Size: 5.17 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 5,951 - Forks: 1,064

zhoudaxia233/EfficientUnet-PyTorch

A PyTorch 1.0 Implementation of Unet with EfficientNet as encoder

Language: Python - Size: 25.4 KB - Last synced at: 29 days ago - Pushed at: over 4 years ago - Stars: 160 - Forks: 34

narumiruna/efficientnet-pytorch

A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".

Language: Python - Size: 342 KB - Last synced at: 30 days ago - Pushed at: about 1 month ago - Stars: 113 - Forks: 31

d-f/pcam-classification

Image classification with EfficientNet-B0 and the PCAM dataset. RestAPI created with Flask.

Language: Python - Size: 26.4 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

qubvel/efficientnet

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Language: Python - Size: 815 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 2,087 - Forks: 469

google/automl

Google Brain AutoML

Language: Jupyter Notebook - Size: 28.5 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 6,369 - Forks: 1,465

baohuyvanba/Deep-Learning

Implementations of various Deep Learning models.

Language: Jupyter Notebook - Size: 296 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

elisefeld/lichen_classifier

Language: Python - Size: 1.21 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

qubvel/segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Language: Python - Size: 1.77 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 4,841 - Forks: 1,044

AlecioP/forms-classifier

Classification of documents from an image

Language: Python - Size: 21.5 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

vovod/animal-classify

Animal Image Classification

Language: Python - Size: 24.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

lintsinghua/VerifyVision-Pro

VerifyVision-Pro是一个完整的图像真伪鉴别解决方案，能够检测各类图像篡改和伪造，包括DeepFake、拼接、复制-移动和AI生成图像。本项目实现了从数据处理、模型训练到网页应用的全流程部署，支持多种深度学习架构，适合研究和实际应用场景。

Language: Python - Size: 0 Bytes - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

cavalleria/cavaface

face recognition training project(pytorch)

Language: Python - Size: 305 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 475 - Forks: 85

zhoudaxia233/EfficientUnet

Keras Implementation of Unet with EfficientNet as encoder

Language: Python - Size: 31.3 KB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 48 - Forks: 26

Twilight-skylight/NeuraScan

An AI-powered platform for brain MRI analysis and tumor classification, providing instant insights and detailed medical reports.

Language: TypeScript - Size: 1.84 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

arpanpramanik2003/fruit-veg-classification

This project is a deep learning-based image classification system that uses EfficientNet for accurate identification of fruits and vegetables from uploaded images. Built with TensorFlow and deployed using Streamlit, it provides a user-friendly interface, confidence scores, and visualization of predictions.

Language: Jupyter Notebook - Size: 48.4 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 1 - Forks: 1

mayankmittal29/MapMyView-Location-Prediction-Engine-via-End-to-End-Visual-Deep-Models

Web app for geospatial inference via image—React + FastAPI frontend/backend, ConvNeXt, Swin Transformer, EfficientNet models for region, lat-long, and angle prediction; GAN-augmented training, real-time multi-model inference, gradient-optimized.

Language: Jupyter Notebook - Size: 3.04 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

fsx950223/mobilenetv2-yolov3

yolov3 with mobilenetv2 and efficientnet

Language: Python - Size: 35.5 MB - Last synced at: 29 days ago - Pushed at: over 2 years ago - Stars: 293 - Forks: 101

tinh2044/PlantDisease_classification

Transfer learning efficientNet to classification disease on plants. Build web application with React and FastAPI

Language: Python - Size: 1.26 GB - Last synced at: 10 days ago - Pushed at: 5 months ago - Stars: 3 - Forks: 0

b0kja85/truesaight

TRUES[AI]GHT - A Deepfake Detector Tool that Utilizes a Hybridized Machine Learning Model for Temporal and Spatial Analysis

Language: Python - Size: 14.9 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Arittra-Bag/NeuraScan

An AI-powered platform for brain MRI analysis and tumor classification, providing instant insights and detailed medical reports.

Language: TypeScript - Size: 1.84 MB - Last synced at: 12 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

datax-official/wildfire-detection-FYP

Forest fire solution combining thermal/RGB cameras with optimized deep learning models (EfficientNet + MobileViT) for real-time wildfire detection in Pakistan's forests. Deployable on Raspberry Pi, featuring Grad-CAM exploitability and multi-sensor fusion to reduce false alarms.

Size: 12.7 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

MachineLP/PyTorch_image_classifier

Image classification: efficientnet/resnest/seresnext/.....

Language: Python - Size: 3.12 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 260 - Forks: 72

mkdir700/uniclipboard-desktop

uniclipboard-desktop 是一个功能强大的跨平台剪切板同步工具，旨在为用户提供无缝的剪切板共享体验。uniclipboard-desktop is a powerful cross-platform clipboard synchronization tool designed to provide users with a seamless clipboard sharing experience.

Language: Rust - Size: 1.34 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 0

ratnaakter/Skin-Disease-Detection-System

To classify skin lesions into multiple classes, this project applies and contrasts various machine learning algorithms. By utilizing computer vision and machine learning techniques, the system aims to support the early diagnosis and classification of skin illnesses.

Language: Python - Size: 314 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

utkuatasoy/Face-Expression-Recognition

This project implements a deep learning-based facial expression recognition system using the FER2013 dataset, addressing class imbalance through sampling strategies, enhancing accuracy with MTCNN-based face alignment, and enabling real-time inference via ONNX models.

Language: Jupyter Notebook - Size: 307 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

LybahNisar/Smoke_and_Fire_Classification_using_Transfer_Learning

This project uses transfer learning with EfficientNetB0 to classify images into "Smoke" and "Fire" categories, achieving ~76% accuracy. The model leverages fine-tuning, feature extraction, and data augmentation, with high precision for "Fire" and perfect recall for "Smoke."

Language: Jupyter Notebook - Size: 574 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Mole1424/3rd-year-project

Central repository for anything related to my 3rd year project: Evaluating the Resiliency of Blink-Based DeepFake Detection Against Adversarial Noise

Language: TeX - Size: 13.4 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

pronzzz/weather-prediction

This repository implements an end-to-end Python pipeline to classify weather-clear sky, cloudy, rainy, stormy by merging CCSN_v2 and Howard-Cloud-X datasets. It automates preprocessing, data splitting, EDA, trains ViT, ResNet50 & EfficientNetB0 with transfer learning, uses GradCAM for explainability, and offers GPU-accelerated standalone prediction

Language: Jupyter Notebook - Size: 15.7 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

SaniyaAbushakimova/Self-Supervised-Learning-CIFAR10

Self-supervised learning pipeline using PyTorch to pretrain ResNet18 and EfficientNetV2-L on a rotation prediction task (RotNet) with CIFAR-10. Demonstrates how semantic features can be learned without labels and effectively transferred to supervised classification tasks. Tech: Python (pytorch, numpy, matplotlib)

Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

lannguyen0910/food-recognition

🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation 🍞🍖🍕

Language: Python - Size: 356 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 311 - Forks: 88

Adityagupta-dev/Crop-Disease-Prediction-and-Treatment-Recommendation

A CNN based machine learning project that predicts the crop disease (for now its for watermelon) and recommends treatment for them(Rallis products)

Language: Python - Size: 136 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

MilleXi/Pneumonia_X-ray_Classification

本项目实现了一个基于深度学习的胸部X线图像肺炎分类系统，用于自动识别儿科患者的胸部X线图像中是否存在肺炎（正常/肺炎）。系统采用了多种先进的深度学习模型，包括ResNet50、EfficientNet、Vision Transformer (ViT)和Swin Transformer，并支持模型集成。

Language: Python - Size: 24.4 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

sethubolt7/DEEPFAKE_DETECTION_MODEL

Deepfake detection system using EfficientNet and Streamlit with support for real-time image and video analysis.

Language: Jupyter Notebook - Size: 88.4 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

aqilwahid/Garbage-Classification-EfficientNet

This repository demonstrates the implementation of a waste classification system using Convolutional Neural Networks (CNN). The project focuses on classifying different types of waste into predefined categories, enabling an efficient and automated approach to waste management.

Language: Jupyter Notebook - Size: 8.92 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

ml-illustrated/EfficientNet-Lite-PyTorch

Pytorch implementation of EfficientNet Lite variants

Language: Python - Size: 994 KB - Last synced at: 10 days ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 10

silvermete0r/redeepfake-demo-app

ReDeepFake Demo App - Advanced Deepfake detection model for 2D flat images.

Language: Python - Size: 7.4 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 3

chou141253/FGVC-PIM

Pytorch implementation for "A Novel Plug-in Module for Fine-Grained Visual Classification". fine-grained visual classification task.

Language: Python - Size: 1.41 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 197 - Forks: 40

toandaominh1997/EfficientDet.Pytorch 📦

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

Language: Python - Size: 10.9 MB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 1,443 - Forks: 305

HosseinAtrsaei/Neural-Networks-Deep-Learning

This repository contains the implementation and report for HW#4 of the **Intelligent Systems** course at the **University of Tehran**. The assignment focuses on theoretical understanding and practical implementation of multi-layer neural networks, convolutional neural networks (CNNs), and transfer learning using EfficientNet.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

sml2h3/captcha_trainer_pytorch

基于MobileNetV2/EfficientNet-b0/... + LSTM + CTC的不定长图像识别训练pytorch框架

Language: Python - Size: 15.6 KB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 201 - Forks: 51

gsurma/image_classifier

CNN image classifier implemented in Keras Notebook 🖼️.

Language: Jupyter Notebook - Size: 6.4 MB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 185 - Forks: 99

zsef123/EfficientNets-PyTorch

A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."

Language: Python - Size: 36.1 KB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 311 - Forks: 47

Snigdho8869/DeepDream-StyleTransfer

Explore image transformations with DeepDream Algorithm and Neural Style Transfer in creative image processing.

Language: Jupyter Notebook - Size: 17 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 1

AdeelH/pytorch-fpn

PyTorch implementations of some FPN-based semantic segmentation architectures: vanilla FPN, Panoptic FPN, PANet FPN; with ResNet and EfficientNet backbones.

Language: Python - Size: 57.6 KB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 55 - Forks: 8

rom1504/image_embeddings

Using efficientnet to provide embeddings for retrieval

Language: Jupyter Notebook - Size: 16.2 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 157 - Forks: 32

hnthap/cat-dog-classification

Cat-Dog Image Classification: training, evaluation and inference (98% accuracy on test set).

Language: Jupyter Notebook - Size: 180 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

KrishArul26/TensorFlow_Certificate_Exam-Prepration

This is repo is in development. It is used to keep resources, course references, and code examples while preparing for the TensorFlow Developer Certification exam. If the work here helps you in some way please feel free to share, fork, or star.

Language: Jupyter Notebook - Size: 7.57 MB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

rwightman/efficientnet-jax

EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax

Language: Python - Size: 157 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 128 - Forks: 14

chinmaynehate/DFSpot-Deepfake-Recognition

Determine whether a given video sequence has been manipulated or synthetically generated

Language: Python - Size: 25.9 MB - Last synced at: 18 days ago - Pushed at: over 2 years ago - Stars: 98 - Forks: 19

KeithPinson/Yum-or-Yuck-2022-Butterfly-Mimics

A Kaggle Community Competition. Can you craft a deep learning model that is better than a bird at classifying 6 remarkable North American butterflies? https://www.kaggle.com/c/yum-or-yuck-butterfly-mimics-2022

Language: Jupyter Notebook - Size: 46 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

KhaingSuThway/Cardiac_Arrhythmias_Classification_with_Lightweight_CNN

Classify the image of atrial fibrillation and normal sinus rhythm using mobile net

Language: Jupyter Notebook - Size: 558 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

YassineRibouh/FaceRecognition

This repository presents a face recognition system trained using Siamese Neural Networks with two loss functions—contrastive and triplet—across six models. For each loss type, three models were developed, including one with pretrained weights, to compare performance.

Language: Jupyter Notebook - Size: 3.52 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

zythedeveloper/sea-animals-classifier

The Sea Animals Classifier is a deep learning project designed to accurately classify different sea animals based on image data. Using deep learning techniques, such as Convolutional Neural Networks (CNNs) and transfer learning, this project aims to build a robust model capable of distinguishing between various marine species.

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manjaryp/GANvsGraphicsvsReal

Distinguishing Natural and Computer-Generated Images using Multi-Colorspace fused EfficientNet

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anoopkdcs/GANvsGraphicsvsReal Fork of manjaryp/GANvsGraphicsvsReal

Distinguishing Natural and Computer-Generated Images using Multi-Colorspace fused EfficientNet

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JavierKaiser9/RGB-D_Dual_Input_Machine_Learning_Model

This Demo presents a machine learning-based steering module for sidewalk navigation . Using a dual-input EfficientNetV2 model, it processes RGB-D data from an Intel RealSense D415 to classify sidewalk scenarios and generate real-time steering commands. Optimized with OpenVINO

Language: Python - Size: 22.1 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

ntedgi/node-efficientnet

tensorflowJS implementation of EfficientNet 🚀

Language: TypeScript - Size: 62.2 MB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 260 - Forks: 36

Prashant-Tiwari26/Breast-Cancer-Classification

Finetuning pretrained CNN for breast cancer detection

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Jeremy-Cleland/Crop_Disease_Detection

This repository presents a deep neural network pipeline combining EfficientNet, MobileNet, and ResNet variants with bespoke attention mechanisms, designed to accurately diagnose plant diseases from images. The integrated Flask-based web interface allows users to submit crop images and instantly receive diagnostic feedback.

Language: Python - Size: 501 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

zabir-nabil/Fibro-CoSANet

Idiopathic pulmonary fibrosis (IPF) is a restrictive interstitial lung disease that causes lung function decline by lung tissue scarring. Although lung function decline is assessed by the forced vital capacity (FVC), determining the accurate progression of IPF remains a challenge. To address this challenge, we proposed Fibro-CoSANet, a novel end-to-end multi-modal learning-based approach, to predict the FVC decline. Fibro-CoSANet utilized CT images and demographic information in convolutional neural network frameworks with a stacked attention layer. Extensive experiments on the OSIC Pulmonary Fibrosis Progression Dataset demonstrated the superiority of our proposed Fibro-CoSANet by achieving the new state-of-the-art modified Laplace Log-Likelihood score of -6.68. This network may benefit research areas concerned with designing networks to improve the prognostic accuracy of IPF.

Language: Python - Size: 384 MB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 20 - Forks: 4