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annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

autolabelme

use DL model automatically label image

biformer

[CVPR 2023] Official code release of our paper "BiFormer: Vision Transformer with Bi-Level Routing Attention"

clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

codeformer

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

cvprojects

computer vision projects | 计算机视觉相关好玩的AI项目（Python、C++）

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

deep_sort_pytorch

MOT using deepsort and yolov3 with pytorch

graphcast

grounded-segment-anything

Grounded-SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

isat_with_segment_anything

Interactive semi-automatic image segmentation annotation tool. Supports SAM(segment anything model), sam-hq, MobileSAM etc.（交互式半自动图像分割标注工具，支持SAM，sam-hq, MobileSAM等模型）

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

linux-command

Linux命令大全搜索工具，内容包含Linux命令手册、详解、学习、搜集。https://git.io/linux

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

mmyolo

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

notebooks

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

objectdetection_script

一些关于目标检测的脚本的改进思路代码，详细请看readme.md

oneformer

[CVPR 2023] OneFormer: One Transformer to Rule Universal Image Segmentation

propainter

[ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

sd-webui-roop

roop extension for StableDiffusion web-ui

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

shap

A game theoretic approach to explain the output of any machine learning model.

study

supervision

We write your reusable computer vision tools. 💜

train_custom_dataset

标注自己的数据集，训练、评估、测试、部署自己的人工智能算法

x-anylabeling

Effortless data labeling with AI support from Segment Anything and other awesome models.

yolov8-object-tracking

YOLOv8 Object Tracking Using PyTorch, OpenCV and Ultralytics

yolox

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/