Pinned Repositories
AI-interview-cards
最完整的AI算法面试题目仓库，1000道，25个类目
anylabeling
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything, MobileSAM!!
autodistill
Images to inference with no labeling (use foundation models to train supervised models)
darknet
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Grounded-Segment-Anything
Grounded-SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
ICCV2021-Paper-Code-Interpretation
ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理
lbp
Local binary pattern features
MobileNet-V2
A Complete and Simple Implementation of MobileNet-V2 in PyTorch
yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite
pupu2014's Repositories
pupu2014/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
pupu2014/AI-interview-cards
最完整的AI算法面试题目仓库，1000道，25个类目
pupu2014/anylabeling
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything, MobileSAM!!
pupu2014/autodistill
Images to inference with no labeling (use foundation models to train supervised models)
pupu2014/darknet
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
pupu2014/Grounded-Segment-Anything
Grounded-SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
pupu2014/ICCV2021-Paper-Code-Interpretation
ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理
pupu2014/lbp
Local binary pattern features
pupu2014/MobileNet-V2
A Complete and Simple Implementation of MobileNet-V2 in PyTorch
pupu2014/seglink
Detecting text by linking segments.
pupu2014/shadowsocks
pupu2014/test
pupu2014/UCAS-AOD-benchmark
A benchmark of UCAS-AOD dataset.
pupu2014/yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite
pupu2014/X-AnyLabeling
Effortless data labeling with AI support from Segment Anything and other awesome models.
pupu2014/XNOR-Net
ImageNet classification using binary Convolutional Neural Networks
pupu2014/yolo2_light
Light version of convolutional neural network Yolo v3 & v2 for objects detection with a minimum of dependencies (INT8-inference, BIT1-XNOR-inference)