zekarias-tilahun Goto Github PK
Name: Zekarias Tilahun
Type: User
Company: AstraZeneca
Location: Cambridge, UK
Name: Zekarias Tilahun
Type: User
Company: AstraZeneca
Location: Cambridge, UK
Ethiopian gospel singers lyrics dataset
This is Andrew NG Coursera Handwritten Notes.
A collection of research papers, datasets and software related to knowledge graphs for drug discovery. Accompanies the paper "A review of biomedical datasets relating to drug discovery: a knowledge graph perspective" (Briefings in Bioinformatics, 2022)
A multilingual parallel corpus created from translations of the Bible.
A notebook based tutorial series on buildling a LLM from scratch
Source code and datasets of "CANE: Context-Aware Network Embedding for Relation Modeling"
Tensorflow Implementation of the cas2vec algorithm as described in the paper, "Network-Agnostic Cascade Prediction in Online Social Networks"
Graph convolutional neural network for multirelational link prediction
A PyTorch implementation of DeepRed
Build and Deploy your Site using this beautiful Jekyll Theme built for Developers
A simple implementation of Diagram algorithm
Implementation of GAP: Graph Neighborhood Attentive Pooling, https://arxiv.org/abs/2001.10394. A context-sensitve graph (network) representation learning algorithm that relies only on the structure of the graph.
representation learning on attributed graphs
Graph Machine Learning course, Xavier Bresson, 2023
A PyTorch implementation of the "Gossip and Attend: Context-sensitive Graph Representation Learning" paper, the International AAAI Conference on Web and Social Media (ICWSM 2020)
A tool for evaluating graph embedding algorithms
A PyTorch implementation of "Self-Supervised GNN that Jointly Learns to Augment" or "Jointly Learnable Data Augmentations for Self-Supervised GNNs" papers, which appeared at Neurips2021 Workshop on Self-Supervised Learning - Theory and Practice
PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Machine translation (MT) benchmark dataset for languages in the Horn of Africa.
A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
Implementation of the Mineral algorithm as described in the paper, Mineral: Multi-modal Network Representation Learning.
🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.
An open source AutoML toolkit for neural architecture search, model compression and hyper-parameter tuning.
A sparsity aware implementation of "Biological Network Comparison Using Graphlet Degree Distribution" (Bioinformatics 2007)
Graph Convolutional Networks in PyTorch
A PhD level reading course on advanced topics in Data Mining and Analytics.
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.