Adrián Bazaga's Projects
Supporting Rapid Prototyping with a Toolkit (incl. Datasets and Neural Network Layers)
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Geometric Deep Learning Extension Library for PyTorch
QuickHull algorithm implementation, with graphical visualization. Language: Java. More info: https://en.wikipedia.org/wiki/Quickhull
RAM Machine Simulator v1.0. Doc: http://adrianbzg.github.io/RAM-Machine-Simulator/html/
The missing link between spreadsheets and data visualization
A high-performance distributed execution engine
Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning
R Interface to Python
Retro Games in Gym
A combination of Autoencoder and Robust PCA
R wrapper for Van der Maaten's Barnes-Hut implementation of t-Distributed Stochastic Neighbor Embedding
Languages & Paradigms of Programming subject assessments codes. Language: Ruby
Single-cell RNA-seq Gene Expression Recovery
:mag_right: ScanCode scans code and detects licenses, copyrights, package manifests & dependencies and more ... to discover and inventory open source and third-party packages used in your code.
An intuitive library to add plotting functionality to scikit-learn objects.
Relevance Vector Machine implementation using the scikit-learn API.
A deep generative model for gene expression profiles from single-cell RNA sequencing
An implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Multilingual Sentence & Image Embeddings with BERT
A unified approach to explain the output of any machine learning model.
Easy interactive web applications with R
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Implementations both in R and Matlab of SIMLR (https://www.nature.com/articles/nmeth.4207) and CIMLR (https://www.biorxiv.org/content/early/2018/02/16/267245) Multi-kernel LeaRning methods.
Use evolutionary algorithms instead of gridsearch in scikit-learn
Mirror of Apache Spark
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets
In Silico Prediction of Novel Therapeutic Targets Using Gene – Disease Association Data