qipengh Goto Github PK

bert-pytorch

Google AI 2018 BERT pytorch implementation

cayman-theme

A responsive theme for GitHub Pages

cuda-programming

Sample codes for my CUDA programming book

deeplearningexamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

docs

Documentations for PaddlePaddle

interview

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

mmcv

OpenMMLab Computer Vision Foundation

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

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）

paddleclas

A treasure chest for visual recognition powered by PaddlePaddle

paddledetection

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

paddlenlp

Easy-to-use and powerful NLP library with Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including Neural Search, Question Answering, Information Extraction and Sentiment Analysis end-to-end system.

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)

python-code

qipengh

Config files for my GitHub profile.

qipengh.github.io

textbasedmedical_hybridcnnlstm_tf2

Using UCI ML repository's Drug Reviews dataset to predict condition based on medical reviews. Using hybrid CNN-LSTM model.