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100-days-of-ml-code

A 100 Day ML Challenge to learn and implement ML/DL concepts ranging from the basics of Machine Learning to advanced Deep Learning.

2021-wild-et-al-covid-cognition

Code, scripts, and viewable notebooks for the manuscript, "Seeing through brain fog: disentangling the cognitive, physical, and mental health sequelae of COVID-19."

300days__machinelearningdeeplearning

I am sharing my Journey of 300DaysOfData in Machine Learning and Deep Learning.

3dwdsrnet

Solution to Proba-V Super Resolution

a-dataset-and-benchmark-for-malaria-life-cycle-classification-in-thin-blood-smear-images

ai-for-medicine-specialization-deeplearning.ai

My assignment soultions to the AI for Medicine Specialization course from coursera

awesome-multimodal-remote-sensing-classification

List of datasets, papers, and codes related to multimodal/multisource/multisensor remote sensing classification

awesome-satellite-imagery-datasets

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

awesome-super-resolution

Collect super-resolution related papers, data, repositories

awesome-youtubers

An awesome list of awesome YouTubers that teach about technology. Tutorials about web development, computer science, machine learning, game development, cybersecurity, and more.

bcdu-net

BCDU-Net : Medical Image Segmentation

brain-tumor-segmentation-1

Brain Tumor Segmentation done using U-Net Architecture.

centroid-unet

Centroid-UNet is deep neural network model to detect centroids from satellite images.

chipclassification

Deep learning for multi-modal classification of cloud, shadow and land cover scenes in high-resolution satellite imagery

ciaosr

cmc-rssr

This repository contains the code and models from the paper "Self-Supervised Learning of Remote Sensing Scene Representations Using Contrastive Multiview Coding".

contexttransformer

dacl10k-toolkit

Toolkit for dacl10k dataset (dacl-challenge at WACV2024)

datasets-and-benchmark-code

deep-learning-colonoscopy

Review in Deep Learning for Polyp Detection and Classification in Colonoscopy (https://doi.org/10.1016/j.neucom.2020.02.123).

deep-residual-unet

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

deep_learning_examples

Examples of using deep learning in Bioinformatics

deeplearning-biology

A list of deep learning implementations in biology

denoising-fluorescence

CVPR 2019: Fluorescence Microscopy Denoising (FMD) dataset

docentr

DocEnTr: An end-to-end document image enhancement transformer

dsen2

Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network

edsr-pytorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

emrab

endocv2021-polyp_det_seg_gen

erqa

Edge Restoration Quality Assessment