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alphageometry

arc-agi

The Abstraction and Reasoning Corpus

choc-autocomplete

🏇 Autocomplete Component Package for Chakra UI

coax

Turn RL papers into code, the easy way

coffeematon

A replication of the paper: Quantifying the Rise and Fall of Complexity in Closed Systems: The Coffee Automaton

controlgym

Simple trials of control theory applied to OpenAI gym classic control environments

crafty-spa

Craft Academy tutorial for testable SPA

dceo

Learning diverse options through the Laplacian representation.

environments

A lightweight interface for sensorimotor environments (think: robots), compatible with the `learners` module.

harvard-cs50-artificial-intelligence-with-python

heb_graphs

A package to build, use and draw options graphs for explainable hierarchical reinforcement learning

hierarchycraft

An environement builder for hierarchical ML research

hierarchycraftbenchmark

Benchmarking of RL an HRL agents on the Crafting environment

hippo_gym

laplacian_dual_dynamics

Dual optimization to learn laplacian eigenpairs in arbitrary spaces

leafnothingbehind

Repository of the 2023 Transfer Learning competition in partnership with World From Space. Team Antoine Aurélien Clement Valentin.

learners

A small library for incremental learning of forward and inverse models.

learnrl

A library to use and learn reinforcement learning algorithms

learnrl-pytorch

learnrl-tensorflow

LearnRL agents and environements built in tensorflow 2

levin-program-search

Levin Program Search

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mc-planner

Implementation of "Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents"

metaheuristiques

minesweeper

A minesweeper gym environement

minigrid

Minimalistic gridworld package for OpenAI Gym

optim-supply-product-assignement

Assignment of product for supply chain optimization

panns_transfer_to_gtzan

pddl

Unquestionable PDDL 3.1 parser

py2puml

Generate PlantUML class diagrams to document your Python application.