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Name: Yonatan Deloro
Type: User
Bio: MSc Student in Applied Maths at Ponts et Chaussées and ENS Cachan (Master MVA)
Name: Yonatan Deloro
Type: User
Bio: MSc Student in Applied Maths at Ponts et Chaussées and ENS Cachan (Master MVA)
Pratice with Pointers/Polymorphism/STL, Dynamic Programming (Levenshtein distance), QuadTrees (Neighbors Search). For the "C++ Programming and Algorithmics" introduction course (Ecole des Ponts).
Barrier Method for Lasso Regression Dual / Algorithms for Online Prediction with Sleeping Experts (EWA, OGD, PROD).
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)
LDA, QDA, GMM & HMM. For the "Probabilistic Graphical Models" course (Master MVA).
Goal-Oriented Chatbot trained with Deep Reinforcement Learning
Edge Detector, Deblurring (Wiener filter), Segmentation and Stereo-Matching (with RMF), Wavelets, Compression. For the "Information Processing Techniques and Computer Vision"(Ecole des Ponts)
Regression, Density Estimation, Clustering, Classification (Perceptron, SVM). Practicals for the Machine Learning introduction course (Ecole des Ponts).
Two-players / one-vs-IA mini-game developped in Python during a Programming course (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).
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)
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)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.