hrshwrdhn Goto Github PK

ai_cheat

automatic-leaf-infection-identifier

Automatic detection of plant diseases

blast-ct

Brain Lesion Analysis and Segmentation Tool for Computed Tomography

blob_art_3d

A Blob based Algebraic reconstruction Technique for 3-D computerized tomography

deeplung

WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"

deepweeds

A Multiclass Weed Species Image Dataset for Deep Learning

hrshwrdhn.github.io

imgaug

Image augmentation for machine learning experiments.

luna16_multi_size_3dcnn

An implement of paper "Multi-level Contextual 3D CNNs for False Positive Reduction in Pulmonary Nodule Detection"

matlab-tomo-2d

ml_learning

ml_pro

nas-lung

3D NAS for Pulmonary Nodules Classification

plant-disease-detection

Plant Disease Detection is one of the mind-boggling issues when we talk about using Technology in Agriculture. Although researches have been done to detect whether a plant is healthy or diseased using Deep Learning and with the help of Neural Network, new techniques are still being discovered. For Fewer Data Classical Machine Learning Models are said to outstand given the data is pre-processed well. On the same theory here is my approach for Detecting whether a plant leaf is healthy or unhealthy by utilizing the classical Machine Learning Models, Pre-processing the Image Data. The data was fed to 7 Machine Learning Models with 10 fold cross-validation out of which Random Forest Classifier outperformed all the other models giving an accuracy of 97% on the test set.

plant-leaf-disease-detection

Plant Leaf Disease Detection using Tensorflow & OpenCV in Python

py_cheatsheets

pyfun

pytorch-yolo-v3

A PyTorch implementation of the YOLO v3 object detection algorithm

rankgan

sart2d

segformer

Official PyTorch implementation of SegFormer

seqgan-pytorch

A implementation of SeqGAN in PyTorch, following the implementation in tensorflow.

sequence-models

sequence-models-coursera

Sequence Models by Andrew Ng on Coursera. Programming Assignments and Quiz Solutions.

threedim_shepp_logan

this matlab function used to generate a three dimension Shepp Logan Phantom, data is based on A. C. Kak and Malcolm Slaney, Principles of Computerized Tomographic Imaging,

twodim_shepplogan

Filtered Back Projection | TWO DIMENSIONAL TOMOGRAPHY : straight path

vision

Datasets, Transforms and Models specific to Computer Vision

yolov4-deepsort

Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.

yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

zeropandas