Yonatan Deloro
deloroy
Applied Maths @ Ponts et Chaussées and ENS Cachan (MVA)
Languages
Top Repositories
Edge Detector, Deblurring (Wiener filter), Segmentation and Stereo-Matching (with RMF), Wavelets, Compression. For the "Information Processing Techniques and Computer Vision"(Ecole des Ponts)
Project : Subgoal Discovery on the Taxi Domain with Macro Q-Learning. Practicals : Q-Leaning, Bandits (MAB, LinUCB), Approximate RL. For the RL course (Master MVA).
Practicals for Deep Learning related courses (Master MVA) : Image Classification/Regression/Denoising, Text Classification, Deep Reinforcement Learning, Generative Modelling (GAN, VAE), Deep Learning for Small Data (Transfer Learning, Data Augmentation, Semi-Supervised)
SPEECH Practical : Acoustic and language modelling to decode simple sequences of voice commands. NLP Practical : Implementation from scratch of a probabilistic parser for French based on CYK algorithm and handling OOV. Practicals for the "Speech & NLP" course (Master MVA)
Goal-Oriented Chatbot trained with Deep Reinforcement Learning
Repositories
15Edge Detector, Deblurring (Wiener filter), Segmentation and Stereo-Matching (with RMF), Wavelets, Compression. For the "Information Processing Techniques and Computer Vision"(Ecole des Ponts)
Practicals for Deep Learning related courses (Master MVA) : Image Classification/Regression/Denoising, Text Classification, Deep Reinforcement Learning, Generative Modelling (GAN, VAE), Deep Learning for Small Data (Transfer Learning, Data Augmentation, Semi-Supervised)
No description provided.
Project : Subgoal Discovery on the Taxi Domain with Macro Q-Learning. Practicals : Q-Leaning, Bandits (MAB, LinUCB), Approximate RL. For the RL course (Master MVA).
SPEECH Practical : Acoustic and language modelling to decode simple sequences of voice commands. NLP Practical : Implementation from scratch of a probabilistic parser for French based on CYK algorithm and handling OOV. Practicals for the "Speech & NLP" course (Master MVA)
Goal-Oriented Chatbot trained with Deep Reinforcement Learning
Two-players / one-vs-IA mini-game developped in Python during a Programming course (Ecole des Ponts).
Regression, Density Estimation, Clustering, Classification (Perceptron, SVM). Practicals for the Machine Learning introduction course (Ecole des Ponts).
Barrier Method for Lasso Regression Dual / Algorithms for Online Prediction with Sleeping Experts (EWA, OGD, PROD).
Depth Map Estimation from Stereo Images. Two-months project completed in 2016-2017 with another student from ENPC.
EM, PageRank and Waiting Lines. For the "Modelling Uncertainties" couse (Ecole des Ponts)
Pratice with Pointers/Polymorphism/STL, Dynamic Programming (Levenshtein distance), QuadTrees (Neighbors Search). For the "C++ Programming and Algorithmics" introduction course (Ecole des Ponts).
LDA, QDA, GMM & HMM. For the "Probabilistic Graphical Models" course (Master MVA).
No description provided.
No description provided.