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andrealoddo's starred repositories

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Language:PythonApache-2.030185 386 3501

Awesome-CV

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

Language:TeXLPPL-1.3c22971 214 284

albumentations

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Language:PythonMIT14110 128 1010

pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Language:Jupyter NotebookMIT10580 112 202

segmentation_models.pytorch

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Language:PythonMIT9500 81 639

SSL4MIS

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

Language:PythonMIT2163 37 86

AIX360

Interpretability and explainability of data and machine learning models

Language:PythonApache-2.01618 56 77

Awesome-person-re-identification

Awesome Person Re-identification

1161 51 4

review_object_detection_metrics

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

Language:PythonNOASSERTION1067 18 107

awesome-reid-dataset

Collection of public available person re-identification datasets

902 23 18

Domain-generalization

All about domain generalization

MIT830 41 9

top-cvpr-2023-papers

This repository is a curated collection of the most exciting and influential CVPR 2023 papers. 🔥 [Paper + Code]

Language:PythonCC0-1.0636 14 1

theme-research-group

👥 轻松创建研究组或组织网站 Easily create a stunning Research Group, Team, or Business Website with no-code

Language:TeXMIT308 40

Histopathology-Datasets

Ressources of histopathology datasets

251 8 3

globox

A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics.

Language:PythonMIT173 6 24