pythonaa12

Molemi-App

Molemi App is a AI (Deep Learning) based plant disease recognition application that can identify up to 10 various types of plant diseases by analyzing plant leaves.

Rice-Disease-Prediction-Application

Rice Disease Detection application to detect diseases that often attack rice crops including Brown Spot, Hispa, and Leaf Blast).

AgroLab

Android app for plant disease identification using ML

Plant_Disease_Detector

AI powered plant disease detection and assistance platform currently available as an App and API.

PlantDiseaseDetectionApp

Plant Disease Detection using ML model and Android App

Mobile-Application-To-Detect-Tomato-Leaf-Diseases

Accounting to almost 6.0% of the total tomato production in the world. Tomato is the third most significant vegetable of India by sharing 8.5% of all out vegetable creation.This shows The importance of tomatoes in India. In this section we discuss a solution wherein farmers can take pictures of diseased tomato leaves , the image taken is sent to the flask server, the flask server has a pre-trained CNN model. The image is fed as input to the CNN model. The CNN model is already trained on diseased tomato leaf images consisting of the 9 different types of tomato leaf diseases,the model can also predict if the leaf is healthy.The Dataset used here is the plant village dataset. Each tomato leaf disease consists of around 700 images. The output of the model is the type of disease the plant is affected with or if the leaf is healthy.

PlantDisease

Preprocess dataset and use deep-learning model to detect plant diseases

Plant-disease-detection

Smart India Hackathon 2k18 project for detecting plant disease based on images of plant leaves having disease

SMT

This is an official implementation for "Scale-Aware Modulation Meet Transformer".

PlantVillage-AlexNET

Plant Diseases Classification using AlexNET

Compact-Transformers

Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)

Explainable_Attention_Based_Deepfake_Detector

A Deepfake detector based on hybrid EfficientNet CNN and Vision Transformer archietcture. The model is explainable by rendering a heatmap visualization of the Transformer Relevancy / Attention map.

vizviva_fets_2022

Official PyTorch Code for Hybrid Window Attention Based Transformer Architecture for Brain Tumor Segmentation: Solution for FeTS 2022 Task 2

Spatiotemporal-CNN-Transformer

[MICCAI 2022] Official Implementation for "Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging"

TFCNs

[ICANN 2022 Oral] This repository includes the official project of TFCNs, presented in our paper: TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation

HyFormer

HyFormer: Hybrid Transformer and CNN For Pixel-level Multispectral Image Classification

ViT_pytorch_assignment

Hybrid structure of Vision Transformer and ResNet50x3

ResViT

Official Implementation of ResViT: Residual Vision Transformers for Multi-modal Medical Image Synthesis

SwinDepth

"SwinDepth: Unsupervised Depth Estimation using Monocular Sequences via Swin Transformer and Densely Cascaded Network" (ICRA 2023)

CMT_CNN-meet-Vision-Transformer

A PyTorch implementation of CMT based on paper CMT: Convolutional Neural Networks Meet Vision Transformers.

convolution-vision-transformers

PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers

EdgeNeXt

[CADL'22, ECCVW] Official repository of paper titled "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications".

BiRSwinT

Source code for BiRSwinT: Bilinear Full-Scale Residual Swin-Transformer for Fine-Grained Driver Behavior Recognition

MyCycleGAN

reimplemention of cycleGAN and improve it lightly

LeafGAN

ViTGAN-pytorch

A PyTorch implementation of VITGAN: Training GANs with Vision Transformers

TransGAN

This is a re-implementation of TransGAN: Two Pure Transformers Can Make One Strong GAN (NeurIPS 2021) in PyTorch.

ViTGAN

A PyTorch implementation of ViTGAN based on paper ViTGAN: Training GANs with Vision Transformers.

ResTransGAN

Core code for " Transformer-based Generative Adversarial Network for Brain Tumor Segmentation"

swinGAN

This repository uses modules from Swin Transformer to build Transformer-based Generative Adversarial Networks (GANs) models.