795 Open source projects that are alternatives of or similar to retinal-exudates-detection

Diabetic Retinopathy is a very common eye disease in people having diabetes. This disease can lead to blindness if not taken care of in early stages, This project is a part of the whole process of identifying Diabetic Retinopathy in its early stages. In this project, we'll extract basic features which can help us in identifying Diabetic Retinopa…

Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

Implementation of Basic Digital Image Processing Tasks in Python / OpenCV

A Japanese Tokenizer for Business

Self-contained Japanese Morphological Analyzer written in pure Go

Python version of Sudachi, a Japanese tokenizer.

Russian morphology for Java

A lexicon for Sudachi

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

Python morphological analyzer for Turkish language. Partial port of ZemberekNLP.

A lean C++ library for working with point cloud data

TREES toolbox

Malayalam Morphological Analyzer using Finite State Transducer

Watchman: An open-source social-media event-detection system

Single Cell Cluster Evaluation

Simple multilingual lemmatizer for Python, especially useful for speed and efficiency

Fashion Item segmentation with Mask_RCNN

ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

Implementation of the k-means algorithm in PyTorch that works for large datasets

Hierarchical clustering in JavaScript

Summary and experiment includes basic segmentation, human segmentation, human or portrait matting for both image and video.

Shell scripts to automate download of GitHub traffic statistics, cluster administration, and create an animated GIF.

segmentation paper reading notes

A repository to store Deep Web (onion domain) crawler, scraper, and NLP tools for Tor network.

A cross-platform bible application, integrated with high-quality resources and amazing features, running offline in Windows, macOS and Linux

Code for https://unsupervised-llamas.com

Resurces for MRI images processing and deep learning in 3D

A computational toolkit in R for the integration, exploration, and analysis of high-dimensional single-cell cytometry and imaging data.

D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.

Java implementation for DBSCANSD, a trajectory clustering algorithm.

No description or website provided.

3D hotspot mutation proximity analysis tool

This repository contains the links to the article that I wrote on Medium pertaining to Image processing.

Digital Pathology AI

[New Version] Theoretically Efficient and Practical Parallel DBSCAN

A fast, scalable and light-weight C++ Fréchet distance library, exposed to python and focused on (k,l)-clustering of polygonal curves.

Kyoto University Web Document Leads Corpus

Digital Cell Sorter (DCS): single cell RNA-seq analysis toolkit. Documentation:

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

Scripts for LIUM SpkDiarization tools

Version 2.1.0 released

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, MODNet, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.

Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

Binary semantic segmentation with UNet based on MobileNetV2 encoder

[NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"

Machine Learning Course @ Santa Clara University

Python tools for working with PedX dataset.

An open-source semi-automated processing chain for urban OBIA classification.

Highly Available and Auto-scalable Magento Cluster

[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

Pytorch framework for doing deep learning on point clouds.

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

A Locality Sensitive Hashing (LSH) library with an emphasis on large, highly-dimensional datasets.

Process and Analyze Mouse-Tracking Data

Elixir implementation of CLOPE: A Fast and Effective Clustering Algorithm for Transactional Data

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

K-Means clustering