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acme

A library of reinforcement learning components and agents

amortized-svgd-gan

Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning

amortized-svgd-gan-mnist

Using Amortized Stein variational gradient descent with generative adversarial networks to generate images from the MNIST dataset (Under Development)

awesome-offline-rl

An index of algorithms for offline reinforcement learning (offline-rl)

community-finder

an Algorithm that works on Community Detection

continuous-rl

A codebase for continuous action spaces Reinforcement Learning algorithms

deep-symbolic-optimizer

this is a PyTorch version of the code in this repo: https://github.com/brendenpetersen/deep-symbolic-optimization

gym-lqr

An Open AI Gym custom environment

gym-sepsis

A gym environment for the sepsis mimiciii data

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

information-retreaval

least-squares-policy-iteration

lunar-lander-deep-expected-sarsa

Using deep expected sarsa with tensorflow to solve the lunar lander problem with hyperparameter tuning and results analysis

max-entopy-rl

Original Code for the paper "Energy-based Reinforcement Learning with Stein Soft Actor-Critic" which is published in ICLR 2024

multi-agent-seller

this project consists of a multi-agent system that manages sales of multiple categories of products with each agent using an expert system as a behavior

my-gpt

A character-level decoder Transformer that generates Shakespeare's like text.

nasa-asteroids-classification

Using machine learning with scikit learn to classify Asteroids as hazardous or not

natours-project

A Web page i implemented when i was looking to develop my skills in CSS and SASS, but i got more, i learned also how to organize and name css files for big projects, and of course without forgetting all types of CSS animations

nlp-grammar-inducer

A natural language processing app for English grammar induction

particle-swarm-optimization-sat-problem

A particle swarm optimization algorithm that i implemented to solve the maximum satisfiability problem (MAX-SAT)

py_ai_clinician

sarsa-expected_sarsa-q_learning

scikit-learn

scikit-learn: machine learning in Python

soft-q-learning

currently implementing Soft-Q-Learning using PyTorch

softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

student-performance-prediction

Using Machine learning to predict a student final grade

vision-framework

A small application on object detection using C++ and OpenCV

vision-object-detection

A python desktop app for object detection using OpenCV