snoopybingo's Stars
ddbourgin/numpy-ml
Machine learning, in numpy
facebookresearch/dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
udlbook/udlbook
Understanding Deep Learning - Simon J.D. Prince
ChaoningZhang/MobileSAM
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
openvinotoolkit/anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
datawhalechina/thorough-pytorch
PyTorch入门教程,在线阅读地址:https://datawhalechina.github.io/thorough-pytorch/
OpenGVLab/InternImage
[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
mit-han-lab/efficientvit
Efficient vision foundation models for high-resolution generation and perception.
isl-org/ZoeDepth
Metric depth estimation from a single image
IDEA-Research/T-Rex
[ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy
M-3LAB/awesome-industrial-anomaly-detection
Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。
yatengLG/ISAT_with_segment_anything
Labeling tool with SAM(segment anything model),supports SAM, SAM2, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具
Peterande/D-FINE
D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement 💥💥💥
chongzhou96/EdgeSAM
Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"
Bringer-of-Light/Qt-Nice-Frameless-Window
Qt Frameless Window for both Windows and OS X, support Aero Snap, drop shadow on Windows, and support Native Style such as round corner, drop shadow on OS X. Based on QMainWindow.
CASIA-IVA-Lab/AnomalyGPT
[AAAI 2024 Oral] AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models
OpenBluetoothToolbox/SimpleBLE
SimpleBLE - the all-in-one Bluetooth library for MacOS, iOS, Windows, Linux and Android.
aim-uofa/Matcher
[ICLR'24] Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching
bethgelab/siamese-mask-rcnn
Siamese Mask R-CNN model for one-shot instance segmentation
zhangzjn/ADer
ADer (https://arxiv.org/abs/2406.03262) is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and approaches.
heshuting555/PADing
[CVPR-2023] Primitive Generation and Semantic-related Alignment for Universal Zero-Shot Segmentation
lewandofskee/DiAD
Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.
lewandofskee/MambaAD
[NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.
sinahmr/DIaM
Official PyTorch Implementation of DIaM in "A Strong Baseline for Generalized Few-Shot Semantic Segmentation" (CVPR 2023)
hyao1/GLAD
The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection"
shizenglin/training-free-object-counter
jingw193/AdaptiveFSS
Adaptive FSS has been Accepted by AAAI 2024. A Novel Few-Shot Segmentation Framework via Prototype Enhancement
hakanaktas1/computer_vision_data_tool
Data Preparation Tool Kit for Computer Vision / AI
TrinitialChan/ControlNet4FSS
Official Implementation of DifFSS Generation Pipeline
Eli-yu-first/Artificial_Intelligence
Artificial_Intelligence learning Codes