MVA

Labs and homeworks done during the Master Mathematics, Vision, Learning (MVA) at ENS Paris-Saclay.

First semester

Course	Homework
Convex Optimization	Convexity, Conjugate Function
	Duality
	LASSO
Deep Learning	Natural Language Processing
Deep Learning	Deep Q-learning
Graphs for Machine Learning	Spectral Clustering
	Semi-Supervised Learning
	Graph Neural Networks
Object Recognition and Computer Vision	Objects Matching, Image Retrieval
	Neural Networks
	Bird Classification Challenge
Probabilistic Graphical Models	Discrete Graphical Models, Linear Classification
	EM Algorithm, Ising Model and Loopy Belief Propagation
	Gibbs Sampling, Mean Field VB
Reinforcement Learning	Finite MDPs, Function Approximation
Reinforcement Learning	Exploration in Linear Bandits and in Reinforcement Learning

Course	Homework
Biostatistics	Treatment effect estimation, COVID-19
Deep Learning in Practice	Hyperparameters tuning
	Grad-CAM
	Graph Neural Networks
	Active Learning
	Rossler Attractor
	Generative Models
Kernel Methods	Kernels, Optimization
Multiscale models and CNNs	Paris Fire Brigade Challenge
Neurosciences	Predictive Coding
Sequential Learning	Game Theory, Sleeping Experts

Name		Name	Last commit message	Last commit date
Latest commit History 51 Commits
biostatistics		biostatistics
convex_optimization		convex_optimization
deep_learning		deep_learning
deep_practice		deep_practice
graphs_ml		graphs_ml
kernel_methods		kernel_methods
multi_scale		multi_scale
neurosciences		neurosciences
object_recognition		object_recognition
probabilistic_graphical_models		probabilistic_graphical_models
reinforcement_learning		reinforcement_learning
sequential_learning		sequential_learning
README.md		README.md