qbouniot

CLOUDS

[CVPR 2024] Official Implementation of Collaborating Foundation models for Domain Generalized Semantic Segmentation

eztorch

Library to perform image and video self-supervised learning.

awesome-uncertainty-deeplearning

This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.

torch-uncertainty

Open-source framework for uncertainty and deep learning models in PyTorch :seedling:

torchaug

Library to perform efficient vision data augmentations for CPU/GPU per-sample/batched data.

DeepLabV3Plus-MUAD-Pytorch

Deeplab V3+ on the MUAD dataset

deezer-linux

An universal linux port of deezer, supporting Flatpak, Appimage, Snap, RPM, DEB...

jean-zay-doc

Collaborative documentation for and from Jean Zay users. Official Jean Zay documentation: http://www.idris.fr/eng/jean-zay/

BrightFlow

Basket-Ball-Size-Estimation

KaliCalib

A Framework for Basketball Court Registration

MT-DETR

Official resources for "Towards Few-Annotation Learning for Object Detection: Are Transformer-based Models More Efficient?", IEEE/CVF WACV, 2023.

SCE

Implementation of "Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning" WACV 2023.

adv-sat

Sinkhorn Adversarial Training (SAT): Optimal Transport as a Defense Against Adversarial Attacks

RPCDataloader

A variant of the PyTorch Dataloader using remote workers.

MetaMTReg

Official code for "Improving Few-Shot Learning through Multi-task Representation Learning Theory" ECCV 2022.

PedestriansDynamics

An evacuation of pedestrians in a room

PlotNeuralNet

Latex code for making neural networks diagrams

annotated_latex_equations

Examples of how to create colorful, annotated equations in Latex using Tikz.

awesome-few-shot-object-detection

Leaderboard, taxonomy, and curated list of few-shot object detection papers.

FewShotText

Library of various Few-Shot Learning frameworks for text classification

pixano-app

Pixano App is a web-based smart-annotation tool for computer vision applications.

AD-RobustnessEval

Robustness benchmark evaluation in case of incorrect high level driving instruction in Carla simulator.

pytorch-meta-dataset

A non-official 100% PyTorch implementation of META-DATASET benchmark for few-shot classification

N2D2

N2D2 is an open source CAD framework for Deep Neural Network simulation and full DNN-based applications building.

adv-reid

Metric Adversarial Attacks and Defense

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

higher

higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

learn2learn

A PyTorch Library for Meta-learning Research

pixano-elements

Pixano Elements - Re-usable web components dedicated to data annotation tasks.