Name: Yliess HATI
Type: User
Company: Pole Universitaire Leonard de Vinci, Research Center
Bio: Ph.D. Candidate in Artificial Intelligence (AI) and Human-Computer Interaction (HCI) at De Vinci Innovation Center (DVIC)
Twitter: HatiYliess
Location: La Défense, Paris
Blog: yliesshati.com
Yliess HATI's Projects
General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like architectures. Compatible with the HuggingFace Transformers models.
BayeTorch: Towards Democratized Bayesian Deep Learning with PyTorch
Computer Graphics 01 - OpenGL
A tiny Data API for building Editors.
Cray: a Simple C RayTracer
The Data-Driven Science TextBook contains the reference material for the Data-Driven Science Lectures given at the De Vinci Innovation Center.
DeepWaveDream is an experimental library to sonify the inner gradients evolution of deep learning model when training.
Dol is an experimental compiled data-oriented programming language.
FaceCapture: a Simple Facial Registration Capture App
FaceTool: a Tool for Single Face Videos
ECS in python: FlappyBird clone
Michiru & YGames Entry for a GameJam Launched by Matthew Palaje
LPC Utility for Pytorch Library.
MNIST for the Web
Efficient and comprehensive pytorch implementation of NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis from Mildenhall et al. 2020.
PaintsTorch: Automatic Lineart Colorization
PaintsTorch2: Self-Supervised User-Guided Anime Lineart Colorization https://yliess86.github.io/PaintsTorch2/
API for PaintsTorch: Automatic Colorization
Statistic for PaintsTorch
Ph.D. Thesis in Deep Learning - AI-Assisted Creative Expression: a Case for Automatic Lineart Colorization
Snook: Augmented Pool Framework for Playful Learning Applications. Learn Maths, RigidBody Physics, and More Playing Pool.
A simple yet practical Social Touch Deep Learning model.
A Diffusion-based User-Guided Automatic Anime Lineart Colorization Tool.
Style Transfer with Pytorch Library.
A simple yet practical PyTorch booster library to help with bootstrapping and replicating research.
Triplet loss for facial recognition.
Triplet Loss Utility for Pytorch Library.