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Name: Adrián Bazaga
Type: User
Company: University of Cambridge
Bio: PhD in Machine Learning at University of Cambridge, AI Research Scientist
Location: United Kingdom
Blog: https://bazaga.ai
Name: Adrián Bazaga
Type: User
Company: University of Cambridge
Bio: PhD in Machine Learning at University of Cambridge, AI Research Scientist
Location: United Kingdom
Blog: https://bazaga.ai
Machine Learning Lectures at the European Space Agency (ESA) in 2018
Personal website
Java implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Codes for the subject "Advanced Algorithms and Data Structures". Language: C++
A PyTorch implementation of "Combining Neural Networks with Personalized PageRank for Classification on Graphs" (ICLR 2019).
This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].
An R package for adaptive shrinkage
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
Automated Machine Learning with scikit-learn
Compute graph embeddings via Anonymous Walk Embeddings
:sunglasses: Curated list of awesome lists
A curated list of awesome awesomeness
A curated list of community detection techniques.
🎨 Creative Coding: Generative Art, Data visualization, Interaction Design, Resources.
A collection of research papers on decision, classification and regression trees with implementations.
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier
A curated list of awesome deep learning applications in the field of computational biology
A curated list of gradient boosting research papers with implementations.
A collection of important graph embedding, classification and representation learning papers with implementations.
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of Neo4j resources.
A curated list of network embedding techniques.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Axon/Myelin segmentation using Deep Learning
a general purpose learning agent
:necktie: :briefcase: Build fast :rocket: and easy multiple beautiful resumes and create your best CV ever! Made with Vue and LESS.
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.