D

deep-learning

Deep learning system for seismic velocity inversion using a SincNet-GAT-UNet architecture, physics-informed temporal encoding, graph attention fusion, and FiLM-conditioned spatial prediction

Projet pédagogique en algorithmie et intelligence artificielle consistant à créer un agent (Kevin) capable de résoudre un labyrinthe.

Le projet explore plusieurs approches :

Génération de labyrinthes (DFS, Prim) Algorithmes de recherche de chemin (A*, Dijkstra) Apprentissage supervisé (Imitation Learning avec CNN) Apprentissage par renforcement (Deep Q-Network)

Des outils de visualisation permettent de générer des images et des GIFs montrant Kevin se déplacer dans le labyrinthe.

Projet réalisé dans le cadre de la formation Développeur en Intelligence Artificielle (Simplon).

A clean, modular implementation of Physics-Informed Neural Networks (PINNs) for solving the 1D and 2D wave equation using PyTorch.

LeNet-5 in 9 lines of code using Keras, pour la lecture d'étiquettes marquées à la main provenant de la caméra du robot.

This is a passion project where I attempt to use deep-learning ML-models to make accurate predictions on the outcome of NHL games. I ran the model predictions as a live betting strategy in the Fall of 2022 and achieved a roughly 60% return on investment.

Introduction to classification using machine learning and deep learning (PyTorch, TensorFlow, Keras)

Fine tunning of a deep neural network (using convolutionnal layers) to reconize a digit from a picture of an handwritten one.

✭ MAGNETRON ™ ✭: Detectron2 is a platform for PROXIA that can do POSE ESTIMATION, object detection, segmentation and other visual recognition tasks.

UMSI-Wikipedia Text Difficulty Prediction (NLP Project)

Capstone 1: Caterpillar Tube Pricing Prediction & Categorization. Capstone 2:Pipeline Multi-Leak Classification.

3D Hand Pose Estimation using Multi-View CNNs

📚 📐 Repository to historically learn about step-by-step mathematics for machine learning.

Example showing the use of a pretrained classification network together with an EdgeMatcher to inspect multiple image regions. See also the available tutorials on the SICK support portal. Topics: #algorithm #image-2d #machine-learning #deep-learning #neural-network #sample #sick-appspace #edgematcher #locator #matching

Example showing the use of a pretrained classification network. See also the available tutorials on the SICK support portal. Topics: #algorithm #image-2d #machine-learning #deep-learning #neural-network #sample #sick-appspace

Classifier to assign label to particle

In SupeRAuGAN we implement a novel data augmentation technique tailored to Generative Adversarial Networks in order to reduce discriminator overfitting and stabilize training