nicolas-dufour Goto Github PK
Type: User
Bio: PhD student at ENPC and Ecole polytechnique. Ex Meta Intern
Type: User
Bio: PhD student at ENPC and Ecole polytechnique. Ex Meta Intern
This is my solution for the RecVis Challenge where i ended 1st on fine-grained classification on bird dataset
Code for "Don’t drop your samples! Coherence-aware training benefits Conditional diffusion" CVPR 2024 Highlight
The objective of this project is to be able to discriminate from 4 of the most common leaf disease that infect cassava crops.
This repository is used to commit my progress on my cassiopée project at Télécom SudParis (French engineering school). This project aim to study activation function in neural networks.
Baseline code for the synthetic data challenge
Baseline code for INF473V challenge for cheese classification
Easily compute clip embeddings and build a clip retrieval system with them
Study done in 2019 on the data scientist job
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
Implemented Neural networks, RBM and DBN from scratch
maps between 1-D space filling hilbert curve and N-D coordinates
High order Moment Models
This project aims to use the instance colorization model and apply it to video in a time consistent manner
We use markov fields to do unsupervised image segmentation
Library for Model Based RL
Machine learning metrics for distributed, scalable PyTorch applications.
This repo contains our code for the rakuten data challenge
Code for SCAM! Transferring humans between images with Semantic Cross Attention Modulation. Also contains implementation for SPADE, CLADE, SEAN and INADE
This project transfert the self supervised Wav2vec2 representation to low ressources languages
This repository contains the code for our final engineering project. This project aims to use semi-markov modelisation to improve an image segmentation task
This project implements a self supervised learning method for time series
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Given a video, we are able to automaticaly answer questions about what is happening in the video.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.