davidmcdonald1993 Goto Github PK
Name: David McDonald
Type: User
Company: AIAInsights
Bio: CTO
Location: Birmingham
Name: David McDonald
Type: User
Company: AIAInsights
Bio: CTO
Location: Birmingham
A tool for retrosynthetic planning
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation
breaking cycles in noisy hierarchies
Reference implementation of the COBDock algorithm.
Distributed Deep learning with Keras & Spark
EXP2SL: a Machine Learning Framework for Cell-Line Specific Synthetic Lethality Prediction
Implementation of Graph Convolutional Networks in TensorFlow
Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".
GraphVite: A General and High-performance Graph Embedding System
[CVPR 2022] HairCLIP: Design Your Hair by Text and Reference Image
Virtual hair makeover from image processing project.
Reference implementation of the HEADNet algorithm.
Reference implementation of the HEAT algorithm described in https://link.springer.com/chapter/10.1007/978-3-030-62362-3_4
Hyperbolic Graph Convolutional Networks in PyTorch.
Improving Therapeutic Synergy Score Predictions with Adverse Effects using Multi-task Heterogeneous Network Embedding
Machine learning model for predicting Human Oral Bioavailability
Started as a Team Project for CS690D at UMass Amherst, now turning into pytorch implementation of hyperbolic neural networks using Poincare Ball model. [Final report](https://github.com/dhruvdcoder/HyperA/tree/master/report)
Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112
Hyperbolic Embeddings
Code and data for the Nature Machine Intelligence paper "Knowledge graph-enhanced molecular contrastive learning with functional prompt".
Keras implementation of Deep Convolutional Generative Adversarial Networks
Synthetic lethality (SL) is a promising gold mine for the discovery of anti-cancer drug targets. KG4SL is the first graph neural network (GNN)-based model that uses knowledge graph for SL prediction.
LigTMap currently supports prediction for 17 protein target classes that include 6000+ protein targets.
LINE: Large-scale information network embedding
Exploratory code for preparation of ArangoDB graph database
scripts for predicting natural product activity from biosynthetic gene cluster sequences
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.