Junaid199f

full-stack-fastapi-template

Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.

captum

Model interpretability and understanding for PyTorch

COVID-CT

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

FasterViT

[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention

pytorch-randaugment

Unofficial PyTorch Reimplementation of RandAugment.

jMetal

jMetal: a framework for multi-objective optimization with metaheuristics

AAAI-2024-Papers

AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for better understanding. ⭐ experience the forefront of progress in artificial intelligence with this repository!

DTC

Semi-supervised Medical Image Segmentation through Dual-task Consistency

LightM-UNet

Pytorch implementation of "LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation"

awesome-deep-neuroevolution

A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

Diabetic-Retinopathy-Detection

DIAGNOSIS OF DIABETIC RETINOPATHY FROM FUNDUS IMAGES USING SVM, KNN, and attention-based CNN models with GradCam score for interpretability,

segmentation_metrics

A package to compute medical segmentation metrics.

Blindness-Detection-Diabetic-Retinopathy-

This is a 5 Class Image Classification Task based on a Kaggle dataset from Eye Images (Aravind Eye hospital) - APTOS 2019 Challenge. The goal is to predict the Blindness Stage (0-4) class from the Eye retina Image using Deep Learning Models (CNN). This Automated System would speed up Blindness detection on Patients

Moonlit

This is a collection of our research on efficient AI, covering hardware-aware NAS and model compression.

T-Mamba

T-Mamba: Frequency-Enhanced Gated Long-Range Dependency for Tooth 3D CBCT Segmentation.

neps

Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.

ParaTransCNN

LHUNet

LHU-Net: A Light Hybrid U-Net for Cost-efficient, High-performance Volumetric Medical Image Segmentation

medseg_decathlon

Medical Segmentation Decathlon 2018

SSL-vs-SSL-benchmark

Code for benchmark comparing self-supervised and semi-supervised deep classifiers for medical images

tutorials

BrainLes tutotrials

evolutionary-diffusion

Applying Evolutionary Computing to Diffusion Models

Atrium-Segmentation

Automatically segment the left Atrium in cardiac images

darts_pt_pp_tf

As a toy project, this repository provides implementations of the first order Differentiable Architecture Search (DARTS) on the fashion-mnist dataset in three different frameworks.

UCTNet

DCLP

The implementation for DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning (AAAI24)

RAGS-NAS

NAS-Landscapes

Data and scripts for landscape analysis of a neural architecture search (NAS) landscapes

Awesome-explainable-AI

A collection of research materials on explainable AI/ML

SWAP