Adrián Bazaga's Projects
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.