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Alejandro Aristizábal's Projects

anaoviedo icon anaoviedo

A jekyll theme for the spectral template by html5up.net (@ajlkn). Demo: http://arkadianriver.github.io/spectral. How to jekyll: http://jekyllrb.com/docs/home/. If you intend to use this theme as a blog site with more than a few pages, have a look at my fork at https://github.com/arkadianriver/arkadianriver.com

bootstrap-modules icon bootstrap-modules

This are some bootstrap modules I've implemented and reused for many jekyll websites.

citylearn icon citylearn

Official reinforcement learning environment for demand response and load shaping

claphelp icon claphelp

non-profit colombian initiative to help and support those that are actively fighting COVID-19 around the globe.

fets-ai-front-end icon fets-ai-front-end

Federated Learning based Deep Learning. Docs: https://fets-ai.github.io/Front-End/

frozenlake icon frozenlake

An implementation of multiple RL agents to solve the Frozen Lake environment using OpenAI's gym

gandlf icon gandlf

A generalizable application framework for segmentation, regression, and classification using PyTorch

gym-tasks icon gym-tasks

A repository to keep implementations for solving RL Gym environments

introduction-to-reinforcement-learning icon introduction-to-reinforcement-learning

This is an archive in which I'll be developing all the ideas presented on the Coursera Course and on the book "Reinforcement Learning: an Introduction" written by Richard S. Stutton and Andrew G. Barto. It's for educational purposes

jupyter-projects icon jupyter-projects

Here I store multiple rojects done with Jupyter Notebook, that aren't yet ready for independent repo's

m.o.n.i.k.a icon m.o.n.i.k.a

Motorized, Omniscient, Network Independent Kinect Assistant.

medperf-2 icon medperf-2

An open benchmarking platform for medical artificial intelligence using Federated Evaluation.

medperf-server icon medperf-server

Initial implementation of MedPerf's server SW. This is for drafting purposes, and will probably be discarded in the future for a more robust solution

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