gautier LOVEIKO (salimandre)

salimandre

Geek Repo

Company:ALPHA10X

Location:Aix-en-Provence

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gautier LOVEIKO's repositories

unsupervised-image-segmentation-persistent-homology

Unsupervised image segmentation by applying topological data analysis techniques.

graph-clustering

unsupervised clustering, generative model, mixed membership stochastic block model, kmeans, spectral clustering, point cloud data

Language:PythonStargazers:8Issues:1Issues:0

Markov-Random-Fields

Image denoising using Markov random fields.

Language:PythonStargazers:7Issues:0Issues:0

PcaNet

PcaNet, PCA Network, Deep Learning, Face Classification, LFW dataset, SVM

Language:PythonStargazers:4Issues:1Issues:0

self-driving-piCar

We implemented a lane detection system using image processing techniques and experimented it using raspberry pi car.

Language:PythonStargazers:4Issues:1Issues:0

texture-inpainting

Implementation of microtexture inpainting method using a probabilistic model.

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Monte-Carlo-Tree-Search

We implemented a Monte Carlo Tree Search (MCTS) from scratch and we successfully applied it to Tic-Tac-Toe game.

Language:PythonStargazers:2Issues:1Issues:0

face-recognition-in-one-minute

Fast semi-supervised face recognition model using graph theory and fast computer vision methods.

Language:PythonStargazers:1Issues:1Issues:0

Metaheuristic-TSP-LSCO

Discrete and continuous optimization problems solved iteratively and approximately by metaheuritic algorithms.

Language:PythonStargazers:1Issues:1Issues:0

n-gram-language-models

language modeling, bigram, trigram, mixture of language models, perplexity, Gutenberg project

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Monte-Carlo-Tree-Search-for-checkers-game

We compare different policies for the checkers game using reinforcement learning algorithms.

Language:PythonStargazers:0Issues:1Issues:0

aws-helper

BASH script generating tutorials for AWS as HTML scripts

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metaheuristics

Discrete and continuous optimization problems solved by metaheuristics algorithms.

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my-own-neural-network

My own implementation of a dense neural network. Implemented features: weights initializer (RandomNormal, Xavier, Glorot&Bengio, He&Zhang&Ren&Sun), optimizer (SGD, SGD with momentum, Nesterov AGD, RMSProp, ADAGrad, ADAM)

Language:PythonStargazers:0Issues:1Issues:0

power-consumption-forecasting

Time series forecasting using different methods.

Language:RStargazers:0Issues:1Issues:0