MVA

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

First semester

<table> <thead> <tr> <th>Course</th> <th>Homework</th> </tr> </thead> <tbody> <!-- Convex Optimization --> <tr> <td rowspan=3><a href="https://github.com/moulinantoine/MVA/tree/master/convex_optimization">Convex Optimization</a></td> <td><a href="https://github.com/moulinantoine/MVA/tree/master/convex_optimization/HW1">Convexity, Conjugate Function</a></td> </tr> <tr> <td><a href="https://github.com/moulinantoine/MVA/tree/master/convex_optimization/HW2">Duality</a></td> </tr> <tr> <td><a href="https://github.com/moulinantoine/MVA/tree/master/convex_optimization/HW3">LASSO</a></td> </tr> <!-- Deep Learning --> <tr> <td rowspan=2><a href="https://github.com/moulinantoine/MVA/tree/master/deep_learning">Deep Learning</a></td> <td><a href="https://github.com/moulinantoine/MVA/tree/master/deep_learning/nlp_project">Natural Language Processing</a></td> </tr> <tr> <td><a href="https://github.com/moulinantoine/MVA/tree/master/deep_learning/dqn_project">Deep Q-learning</a></td> </tr> <!-- Graphs for Machine Learning --> <tr> <td rowspan=3><a href="https://github.com/moulinantoine/MVA/tree/master/graphs_ml">Graphs for Machine Learning</a></td> <td><a href="https://github.com/moulinantoine/MVA/tree/master/graphs_ml/PW1">Spectral Clustering</a></td> </tr> <tr> <td><a href="https://github.com/moulinantoine/MVA/tree/master/graphs_ml/PW2">Semi-Supervised Learning</a></td> </tr> <tr> <td><a href="https://github.com/moulinantoine/MVA/tree/master/graphs_ml/PW3">Graph Neural Networks</a></td> </tr> <!-- Object Recognition and Computer Vision --> <tr> <td rowspan=3><a href="https://github.com/moulinantoine/MVA/tree/master/object_recognition">Object Recognition and Computer Vision</a></td> <td><a href="https://github.com/moulinantoine/MVA/tree/master/object_recognition">Objects Matching, Image Retrieval</a></td> </tr> <tr> <td><a href="https://github.com/moulinantoine/MVA/tree/master/object_recognition">Neural Networks</a></td> </tr> <tr> <td><a href="https://github.com/moulinantoine/MVA/tree/master/object_recognition">Bird Classification Challenge</a></td> </tr> <!-- Probabilistic Graphical Models --> <tr> <td rowspan=3><a href="https://github.com/moulinantoine/MVA/tree/master/probabilistic_graphical_models">Probabilistic Graphical Models</a></td> <td><a href="https://github.com/moulinantoine/MVA/tree/master/probabilistic_graphical_models/HW1">Discrete Graphical Models, Linear Classification</a></td> </tr> <tr> <td><a href="https://github.com/moulinantoine/MVA/tree/master/probabilistic_graphical_models/HW2">EM Algorithm, Ising Model and Loopy Belief Propagation</a></td> </tr> <tr> <td><a href="https://github.com/moulinantoine/MVA/tree/master/probabilistic_graphical_models/HW3">Gibbs Sampling, Mean Field VB</a></td> </tr> <!-- Reinforcement Learning --> <tr> <td rowspan=2><a href="https://github.com/moulinantoine/MVA/tree/master/reinforcement_learning">Reinforcement Learning</a></td> <td><a href="https://github.com/moulinantoine/MVA/tree/master/reinforcement_learning/HW1">Finite MDPs, Function Approximation</a></td> </tr> <tr> <td><a href="https://github.com/moulinantoine/MVA/tree/master/reinforcement_learning/HW2">Exploration in Linear Bandits and in Reinforcement Learning</a></td> </tr> </tbody> </table>

Second semester

<table> <thead> <tr> <th>Course</th> <th>Homework</th> </tr> </thead> <tbody> <!-- Biostatistics --> <tr> <td rowspan=1><a href="https://github.com/moulinantoine/MVA/tree/master/biostatistics">Biostatistics</a></td> <td><a href="https://github.com/moulinantoine/MVA/tree/master/biostatistics/biostats.pdf">Treatment effect estimation, COVID-19</a></td> </tr> <!-- Deep Learning in Practice --> <tr> <td rowspan=6><a href="https://github.com/moulinantoine/MVA/tree/master/deep_practice">Deep Learning in Practice</a></td> <td>Hyperparameters tuning</td> </tr> <tr> <td>Grad-CAM</td> </tr> <tr> <td>Graph Neural Networks</td> </tr> <tr> <td>Active Learning</td> </tr> <tr> <td>Rossler Attractor</td> </tr> <tr> <td>Generative Models</td> </tr> <!-- Kernel Methods --> <tr> <td rowspan=1><a href="https://github.com/moulinantoine/MVA/tree/master/kernel_methods">Kernel Methods</a></td> <td><a href="https://github.com/moulinantoine/MVA/tree/master/kernel_methods/HW.pdf">Kernels, Optimization</a></td> </tr> <!-- Multiscale models and CNNs --> <tr> <td rowspan=1><a href="https://github.com/moulinantoine/MVA/tree/master/multi_scale">Multiscale models and CNNs</a></td> <td><a href="https://github.com/moulinantoine/MVA/tree/master/multi_scale">Paris Fire Brigade Challenge</a></td> </tr> <!-- Neurosciences --> <tr> <td rowspan=1><a href="https://github.com/moulinantoine/MVA/tree/master/neurosciences">Neurosciences</a></td> <td>Predictive Coding</td> </tr> <!-- Sequential Learning --> <tr> <td rowspan=1><a href="https://github.com/moulinantoine/MVA/tree/master/sequential_learning">Sequential Learning</a></td> <td><a href="https://github.com/moulinantoine/MVA/tree/master/sequential_learning/report/report.pdf">Game Theory, Sleeping Experts</a></td> </tr> </tbody> </table>