yydan2022 Goto Github PK

chatgpt-on-wechat

Wechat robot based on ChatGPT, which using OpenAI api and itchat library. 使用ChatGPT搭建微信聊天机器人，基于 GPT3.5/GPT4.0/文心一言 模型，支持个人微信、公众号、企业微信部署，能处理文本、语音和图片，访问操作系统和互联网，支持基于知识库定制专属机器人。

cpython

The Python programming language

e2ec

E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation

fastdeploy

⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.

numba

NumPy aware dynamic Python compiler using LLVM

nvidia-docker

Build and run Docker containers leveraging NVIDIA GPUs

paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

paddle2onnx

ONNX Model Exporter for PaddlePaddle

paddle_inference

paddledetection

Object detection and instance segmentation toolkit based on PaddlePaddle.

paddlehub

Awesome pre-trained models toolkit based on PaddlePaddle.(300+ models including Image, Text, Audio and Video with Easy Inference & Serving deployment)

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）

paddlex

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

playground

A central hub for gathering and showcasing amazing projects that extend OpenMMLab with SAM and other exciting features.

python

All Algorithms implemented in Python

savior

(WIP)The deployment framework aims to provide a simple, lightweight, fast integrated, pipelined deployment framework for RPA(Robot Process Automation) that ensures reliability, high concurrency and scalability of services.

teachaugment

Official Implementation of TeachAugment: Data Augmentation Optimization Using Teacher Knowledge (CVPR2022)

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov7

🔥🔥🔥🔥 YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥

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/

yydetection