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Type: User
Company: University of Derby
Bio: The Biology of AI.
Location: United Kingdom
Type: User
Company: University of Derby
Bio: The Biology of AI.
Location: United Kingdom
GraMi is a novel framework for frequent subgraph mining in a single large graph, GraMi outperforms existing techniques by 2 orders of magnitudes. GraMi supports finding frequent subgraphs as well as frequent patterns, Compared to subgraphs, patterns offer a more powerful version of matching that captures transitive interactions between graph nodes (like friend of a friend) which are very common in modern applications. Also, GraMi supports user-defined structural and semantic constraints over the results, as well as approximate results. For more details, check our paper: Mohammed Elseidy, Ehab Abdelhamid, Spiros Skiadopoulos, and Panos Kalnis. GRAMI: Frequent Subgraph and Pattern Mining in a Single Large Graph. PVLDB, 7(7):517-528, 2014.
Dhulipala, Laxman, et al. "Compressing Graphs and Indexes with Recursive Graph Bisection." arXiv preprint arXiv:1602.08820 (2016).
Heart Disease Analysis repository
The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy.
Implementation of various string similarity and distance algorithms: Levenshtein, Jaro-winkler, n-Gram, Q-Gram, Jaccard index, Longest Common Subsequence edit distance, cosine similarity ...
A system and a Java API for large-scale graph processing based on Google's Pregel
The LEAN UX platform provides an innovative way of evaluating the User experience with the combined abilities of managing multi-modal, wide range of emotions, real-time synchronization, time spans based experience extraction, multi-device integration and powerful visualization.
Python based EEG analysis tool that provides a rough data overview
LogMap: An Ontology Alignment and Alignment Repair System
:hospital: Medical Text Mining and Information Extraction with spaCy
A medaCy compatible model for clinical note information extraction.
Medical image processing in Python
Web System for Clinical Notes Information Extraction
Framework to streamline use of neural networks
Mining Minds is a collection of services, tools and techniques working collaboratively to investigate on humanโs daily routines to provide a personalized well-being and health-care support
Machine Learning for Medical Data Analysis
Models and examples built with TensorFlow
Neo4j Movies Example with Spring Data Neo4j
Multi-view Robust Graph-based clustering for Cancer Subtype Identification
Repository for the NaLLM project
Context-aware knowledge-graph based chatbot using GPT4 and Neo4j
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
A Neural Network implemented from scratch (using only numpy) in Python.
off road
LLM-based ontological extraction tools, including SPIRES
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
A PyTorch implementation of the YOLO v3 object detection algorithm
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.