theovincent

3DPointCloudClassification

Challenge to classify 3D point clouds of cities into Ground - Building - Poles - Pedestrians - Cars - Vegetation

theovincent

Self presentation

CPDE

Results of the research to reproduce

PBO

Projected Bellman Operator (PBO). An attempt to learn a parametric Bellman Operator.

birdClassification

Kaggle class competition on bird classification. Dataset used: Caltech-UCSD Birds-200-2011 bird dataset.

coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

DirectFuturePrediction

Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

double_pendulum

Dual purpose Acrobot and Pendubot Platform

HeightmapsGeneration

This project was made on GitLab. In reality, there are four contributors : Auriane Riou, Candice Van Den Bergh, Alex Fauduet and Théo Vincent

HouseNumberRecognition

lidar-bonnetal

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

MOPSI

ReinforcementLearningWithDemonstration

Problem tackled: How to wisely use expert demonstrations in Reinforcement Learning

ruptures

ruptures: change point detection in Python

s3-cp-action

GitHub Action for S3 cp

SAG_vs_SDCA

The idea of this project is to study different machine learning algorithms

TweetSentimentExtraction

Extract support phrases for sentiment labels : Kaggle Competition

website_tutorial

Small website to learn the basics of Dash

xport

Python reader and writer for SAS XPORT data transport files.