Corentin Dancette (cdancette)

cdancette

Geek Repo

Company:Sorbonne Université

Location:Paris

Home Page:https://cdancette.fr

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Corentin Dancette's repositories

rubi.bootstrap.pytorch

NeurIPS 2019 Paper: RUBi : Reducing Unimodal Biases for Visual Question Answering

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vqa-cp-leaderboard

A collections of papers about VQA-CP datasets and their results

detect-shortcuts

Repo for ICCV 2021 paper: Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering

spatial-counting-network

Spatial Counting Network (SCN) model and Modifying Count Distribution (MCD) protocol

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GMiner

GMiner: A fast GPU-based frequent itemset mining method for large-scale data

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slurm-run

scripts to run jobs on multi-gpu slurm cluster

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bottom-up-attention-vqa

BottomUpTopDown VQA model with question-type debiasing

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cdancette.github.io-old

My personal website

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DomainBed

DomainBed is a suite to test domain generalization algorithms

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evalai-cli

:cloud: :rocket: Official EvalAI Command Line Tool

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je

je - interactive json explore tool. Designed to work with big json files

vilbert-multi-task

Multi Task Vision and Language

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boardgame.io

State Management for Turn-Based Games

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bootstrap.pytorch

Highlevel framework for starting Deep Learning projects (lightweight, flexible, easy to extend)

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client

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

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cpython

The Python programming language

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dalai

The simplest way to run LLaMA on your local machine

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deit

Official DeiT repository

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dust

Design and Deploy Large Language Model Apps

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FreeBoardGames.org

FOSS platform for publishing boardgame.io games

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GGet

Multithreaded download accelerator written in Go

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joplin-web

:snake: :books: Web application companion for Joplin

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lxmert

PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".

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mlflow

Open source platform for the machine learning lifecycle

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renew-biblio-paris

Script to renew loans from the parisian libraries (bibliotheque.paris.fr) website

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transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

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