My open-source interests are
- 🤖 Machine Learning
- 📚 Natural Language Processing
- 🖼️ Image Processing
- 🤔 Computational Creativity
- 🔩 Numerical Optimization
- 💻 Computer Science in general!
Name: Álvaro Barbero Jiménez
Type: User
Company: Instituto de Ingeniería del Conocimiento and Universidad Autónoma de Madrid
Bio: Chief Data Scientist at @IIConocimiento,Mad Scientist at home. Machine Learning, AI, optimization and programming. 「天元突破」
Location: Madrid, Spain
A simple stochastic OpenAI environment for training RL agents
Github profile
Some simple scripts to generate a book from the Library of Babel
Source code and data for my talk at Big Things 2019
Data files and scripts to run Caffe deep learning demos
Curso de análisis de textos con técnicas de aprendizaje automático
Image restoration with neural networks but without learning.
Learning to play Pong through Deep Reinforcement Learning methods
Deep Reinforcement Learning methods to learn plays SNES games
Guertena is an easy to use, quality oriented python library for neural style transfer.
Notebook demo on how to use Keras to classify images with Xception net, and obtain visual explanations with Grad-CAM
My modified fork of CompVis Latent Diffusion Models
Mixture of Diffusers for scene composition and high resolution image generation
A simple Keras implementation of a Generative Adversarial Network, used to generate images of handwritten digits
A dockerized version of neural style transfer algorithms
A recurrent neural network imitating the writing style of Cervantes
Framework to imitate writing styles using deep learning
Matlab and Python toolbox for fast Total Variation proximity operators
Small test for showcasing open source QA tools
Some experiments with quantum computing
Sample app for seminar on open source QA
A dockerized version of the Stable Diffusion UI, including some models I like to use
Public repository for the paper "Classifying Spanish se constructions: from bag of words to language models" presented at SEPLN journal 2020
Solution awarded with #2 prize at the PLN task of the SpainAI Hackathon 2020
A dockerized version of the Style Swap algorithm by rtqichen
A playground to experiment with Support Vector Machine models in a visual way
Some conda environments I use for my lectures on machine learning
Environments for Deep Learning lectures
Conda environments for Decision Trees and Ensembles lectures
A Vagrant box I use for my machine learning lectures
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.