小塔's starred repositories
openai-cookbook
Examples and guides for using the OpenAI API
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.
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)
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
chatgpt-retrieval-plugin
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
Grounded-Segment-Anything
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
librealsense
Intel® RealSense™ SDK
modelscope
ModelScope: bring the notion of Model-as-a-Service to life.
Developer-Books
编程开发相关书单列表整理
joyful-pandas
Pandas中文教程
DBNet.pytorch
A pytorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization
OCR_DataSet
收集并整理有关OCR的数据集并统一标注格式，以便实验需要
rrt-algorithms
n-dimensional RRT, RRT* (RRT-Star)
ocr.pytorch
A pure pytorch implemented ocr project including text detection and recognition
python-sdk
Qiniu Resource (Cloud) Storage SDK for Python
mmewmd_crack_for_wenshu
文书网MmEwMd参数破解,2023.06.25供应文书一手日更数据
notes
我的学习笔记(Nodejs/Koa/Middleware/Mysql/MongoDB/IndexedDB/Redis/Nginx/Npm/Yarn/fnm/Git/PM2/Docker/CentOS/React/Electron/Next.js/WebComponents/Taro/Echarts/Antd/Material-UI/Zustand/immer.js/Three.js/Turf.js/Webpack/Vite/Husky/ESLint/Less/TypeScript/GIS/Cesium.js/Blender/PCD/CanvasKit/Rust/WebAssembly)
shenlan_vio_course
深蓝学院《视觉SLAM进阶：从零开始手写VIO》第一期
TextGenerator
OCR dataset Text-Detection dataset Font-Classification dataset generator
redis-astra
Python light ORM for Redis