pierreosselin Goto Github PK

awesome-courses

:books: List of awesome university courses for learning Computer Science!

birdspeciesclassification

Kaggle Challenge MVA 2019

bml-course

Public repo for course material on Bayesian machine learning at ENS Paris-Saclay

cdt_challenge_2021

CDT Challenge 2021: Autonomous exploration with wheeled robots

cdt_data_inference

Repository for the code used in the CDT course Data, Estimation and Inference

cdt_labs

Repository containing the code for the labs.

deep_gaussian_process_project

Project on Deep Gaussian processes for the MVA course "Bayesian Machine Learning"

deeplmva

Mini-Projects for the course "Deep Learning" at MVA

dirichlet-process

Implementation of the dirichlet process for multivariate clustering

dissertation_scripts

R Scripts used for my dissertation : "Modelling and analysis of social network data from rank preferences"

embedded_systems_assignment

gpflow

Gaussian processes in TensorFlow

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

hebo

Bayesian optimisation library developped by Huawei Noah's Ark Library

machine_learning_

Assessment

mini_project_datascience_oxford

Data Science For Development Oxford Project on the assessment of the effect of social structure on network diffusion

mini_project_networks_oxford

models

Models and examples built with TensorFlow

mva_ms

Stochastic Methods for Machine learning MVA

mva_rl

RL Assignment MVA

optimal_transport_assignments

Numerical Tour for the course Optimal Transport at MVA

optimal_transport_project

optimization_visualization

Visualization Project for optimization Algorithms

pierreosselin.github.io

Personal Website

singan

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

snake_rl

Reinforcement Learning Algorithm for the Snake game from Scratch

structureaware

Community Aware randomized smoothing for graph classification.

teachdeeprl