TongSEU's starred repositories

salt

Segment Anything Labelling Tool

Language:PythonLicense:MITStargazers:1002Issues:0Issues:0

SAM-Tool

利用Segment Anything(SAM)模型进行快速标注

Language:PythonLicense:MITStargazers:179Issues:0Issues:0

foxconn_aoi

富士康-金属件-自动化尺寸测量-计算机视觉

Language:PythonStargazers:20Issues:0Issues:0

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.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:46026Issues:0Issues:0

PaddleOCR

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

Language:PythonLicense:Apache-2.0Stargazers:41503Issues:0Issues:0

Automated-Circuit-Analysis-System

Developed an AI-driven project for Printed Circuit Board (PCB) analysis, incorporating computer vision for image registration, IC detection, and recognition, along with web scraping for data extraction. Also created a GUI to automate and streamline the entire PCB evaluation process.

Language:Jupyter NotebookStargazers:7Issues:0Issues:0

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)。

Stargazers:1278Issues:0Issues:0

PyCIL

PyCIL: A Python Toolbox for Class-Incremental Learning

Language:PythonLicense:NOASSERTIONStargazers:753Issues:0Issues:0

so-large-lm

大模型基础: 一文了解大模型基础知识

Stargazers:2207Issues:0Issues:0

llm-cookbook

面向开发者的 LLM 入门教程,吴恩达大模型系列课程中文版

Language:Jupyter NotebookStargazers:10912Issues:0Issues:0

yolov5-lite-onnxruntime

使用ONNXRuntime部署yolov5-lite目标检测,包含C++和Python两个版本的程序

Language:C++Stargazers:55Issues:0Issues:0

YOLOv5-Lite

🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~

Language:C++License:GPL-3.0Stargazers:2193Issues:0Issues:0

anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Language:PythonLicense:Apache-2.0Stargazers:3516Issues:0Issues:0

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

Language:PythonLicense:AGPL-3.0Stargazers:26938Issues:0Issues:0

Surface-Defect-Detection

📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

Language:PythonLicense:MITStargazers:2936Issues:0Issues:0

CSAW-HackML-using-Neural-Cleanse

backdoor detector for BaNets trained on the YouTube Face dataset. for the CSAW HackML 2020 competition is here: https://www.csaw.io/hackml

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:3Issues:0Issues:0

LibMTL

A PyTorch Library for Multi-Task Learning

License:MITStargazers:1Issues:0Issues:0

torch-rechub

A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.

Language:PythonLicense:MITStargazers:378Issues:0Issues:0

recommendation-system-model

Implementation with Pytorch of DeepCrossing, DeepFM,NFM,Wide&Deep

Language:PythonStargazers:25Issues:0Issues:0

RsAlgorithms

all kinds of recommendation algorithms implement.

Language:PythonStargazers:110Issues:0Issues:0

trojanzoo

TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.

Language:PythonLicense:GPL-3.0Stargazers:272Issues:0Issues:0

DeepCTR-Torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

Language:PythonLicense:Apache-2.0Stargazers:2925Issues:0Issues:0

fun-rec

推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:3904Issues:0Issues:0

DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

Language:PythonLicense:Apache-2.0Stargazers:7463Issues:0Issues:0

MyNeuralCleanse

复现了下Neural Cleanse这篇论文,真的是简单而有效,发在了okaland

Language:PythonStargazers:28Issues:0Issues:0

MachineLearning

Machine Learning in Action学习笔记,一个文件夹代表一个算法,每个文件夹包含算法所需的数据集、源码和图片,图片放在pic文件夹中,数据集放在在Data文件夹内。书中的代码是python2的,有不少错误,这里代码是我用python3写的,且都能直接运行

Language:PythonStargazers:199Issues:0Issues:0

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

Language:PythonLicense:Apache-2.0Stargazers:9924Issues:0Issues:0

RecSys

计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估

Stargazers:1929Issues:0Issues:0

deeplearningbook-chinese

Deep Learning Book Chinese Translation

Language:TeXStargazers:35484Issues:0Issues:0

DeepForSpeed

ConvNet learns to play Need For Speed

Language:PythonLicense:GPL-3.0Stargazers:248Issues:0Issues:0