Pierre Fernandez (pierrefdz)

pierrefdz

Geek Repo

Company:Meta AI

Location:France

Home Page:pierrefdz.github.io

Twitter:@pierrefdz

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Pierre Fernandez's repositories

stable_signature

Please go to https://github.com/facebookresearch/stable_signature

point-transformer

NPM3D: 3D Modeling & Point Clouds (MVA 2021) - Project on "Point Transformer" by H. Zhao et al.

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dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

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computer_animation

INF585 Computer Animation - C++/ openGL project of an interactive animation of a flying house (boids, cloth animation, etc.)

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DNA-sequence-classification-with-kernel-methods

Machine Learning with Kernel Methods (MVA 2021) - DNA sequence classification from scratch using kernel methods and ML algorithm

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HiDDeN

Pytorch implementation of paper "HiDDeN: Hiding Data With Deep Networks" by Jiren Zhu, Russell Kaplan, Justin Johnson, and Li Fei-Fei

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CogView2

official code repo for paper "CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers"

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deit

Official DeiT repository

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pierrefdz.github.io

Personal Website

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draughts-detector

INF573 Computer Vision - Pawns and grid detection of a draughts game board

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latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

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mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

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MBRS

This is the source code of paper MBRS : Enhancing Robustness of DNN-based Watermarking by Mini-Batch of Real and Simulated JPEG Compression, which is received by ACM MM' 21.

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MODAL-Up

INF472F 3D Expressive Modelling - Under the supervision of Pr. Marie-Paule Cani, a javascript program in which the user can model a flying house in the most intuitive manner as possible

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neural-painting

Numerical Imaging (MVA 2021) - Project on "Stylized Neural Painting" by Z. Zou et al.

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neuro-sequence

Scientific Group Project - NeuroScience experiment developped on React Native

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pics.with.ai

Pics with AI website

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taming-transformers

Taming Transformers for High-Resolution Image Synthesis

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train-nn

Code to train distributed neural nets

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VideoMAE

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

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