APAVOU Clément's Projects
This repository is related to a project of the Introduction to Numerical Imaging (i.e, Introduction à l'Imagerie Numérique in French), given by the MVA Masters program at ENS-Paris Saclay. It was entirely build from scratch and contains code in PyTorch Lightning to train and then use a neural network for image classification. We used it to create a classifier allowing semantic attributes classification of faces with the dataset CelebA-HQ.
Building an object detector to protect the Great Barrier Reef: Kaggle challenge TensorFlow - Help Protect the Great Barrier Reef.
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
For me, the goal of this project was to handle transformers fine tuning by implementing and applying optimization training techniques using limited computational resources.
A theme for a developer portfolio made with Hugo
This is repository containing a full pipeline (from annotation to training) for building an orangutans detector.
Deep Learning for medical imaging kaggle challenge for the MVA master 2021-2022. Classification of ISUP grades from Whole Slide Images.
In this project, we propose to study Vision Transformers trained using the Barlow Twins self-supervised method, and compare the results with DINO. We demonstrate the effectiveness of the Barlow Twins method by showing that networks pretrained on the small PASCAL VOC 2012 dataset are able to generalize well. Authors: Apavou Clément & Zucker Arthur
Projet de jeu en GODOT
Modern portfolio theme for your Hugo site
🎓 Hugo Academic Theme 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.