Pinned Repositories
face-recognition-in-one-minute
Fast semi-supervised face recognition model using graph theory and fast computer vision methods.
graph-clustering
unsupervised clustering, generative model, mixed membership stochastic block model, kmeans, spectral clustering, point cloud data
Markov-Random-Fields
Image denoising using Markov random fields.
metaheuristics
Discrete and continuous optimization problems solved by metaheuristics algorithms.
Monte-Carlo-Tree-Search
We implemented a Monte Carlo Tree Search (MCTS) from scratch and we successfully applied it to Tic-Tac-Toe game.
Monte-Carlo-Tree-Search-for-checkers-game
We compare different policies for the checkers game using reinforcement learning algorithms.
PcaNet
PcaNet, PCA Network, Deep Learning, Face Classification, LFW dataset, SVM
self-driving-piCar
We implemented a lane detection system using image processing techniques and experimented it using raspberry pi car.
texture-inpainting
Implementation of microtexture inpainting method using a probabilistic model.
unsupervised-image-segmentation-persistent-homology
Unsupervised image segmentation by applying topological data analysis techniques.
salimandre's Repositories
salimandre/unsupervised-image-segmentation-persistent-homology
Unsupervised image segmentation by applying topological data analysis techniques.
salimandre/graph-clustering
unsupervised clustering, generative model, mixed membership stochastic block model, kmeans, spectral clustering, point cloud data
salimandre/Markov-Random-Fields
Image denoising using Markov random fields.
salimandre/Monte-Carlo-Tree-Search
We implemented a Monte Carlo Tree Search (MCTS) from scratch and we successfully applied it to Tic-Tac-Toe game.
salimandre/PcaNet
PcaNet, PCA Network, Deep Learning, Face Classification, LFW dataset, SVM
salimandre/self-driving-piCar
We implemented a lane detection system using image processing techniques and experimented it using raspberry pi car.
salimandre/texture-inpainting
Implementation of microtexture inpainting method using a probabilistic model.
salimandre/metaheuristics
Discrete and continuous optimization problems solved by metaheuristics algorithms.
salimandre/face-recognition-in-one-minute
Fast semi-supervised face recognition model using graph theory and fast computer vision methods.
salimandre/Metaheuristic-TSP-LSCO
Discrete and continuous optimization problems solved iteratively and approximately by metaheuritic algorithms.
salimandre/n-gram-language-models
language modeling, bigram, trigram, mixture of language models, perplexity, Gutenberg project
salimandre/Monte-Carlo-Tree-Search-for-checkers-game
We compare different policies for the checkers game using reinforcement learning algorithms.
salimandre/aws-helper
BASH script generating tutorials for AWS as HTML scripts
salimandre/dbt
demo dbt repo for experiments
salimandre/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)
salimandre/power-consumption-forecasting
Time series forecasting using different methods.
salimandre/similar-sales-demo