hailangzz Goto Github PK

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用户群画像系统

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98-facelandmarks

卷积回归预测（关键点检测）98 landmark detection

adas

ADAS高级辅助驾驶的一些项目源码，包括LDW车道偏离预警、前车起步提醒等

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

advancedliteratemachinery

阿里巴巴——表格识别

ai-learn

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

aiexamples

some examples of AI

ailia-models

当前流行的深度学习预训练模型项目集合：The collection of pre-trained, state-of-the-art AI models for ailia SDK

ant-learn-tensorflow

学习tensorflow

articles

:notebook_with_decorative_cover: 简书文章中的材料

asrt_speechrecognition

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

automatic_speech_recognition

端到端语音识别End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

awesome-deep-text-detection-recognition

文本检测与识别框架模型汇总

awesome-rl

Reinforcement learning resources curated

baiducloudsupport

百度云（网盘）下载助手

beginning

i am back here,in the best south of China

blazeface

轻量化人脸识别-全流程训练、部署

bundlefusion

[Siggraph 2017] BundleFusion: Real-time Globally Consistent 3D Reconstruction using Online Surface Re-integration

caffe_ocr

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

caffe_train

caffe train face licenseplate reID action ocr centernet

car_identify

汽车识别，汽车车型识别，汽车品牌识别，车辆识别，深度学习，神经网络

cdnet-yolov5

💟《CDNet：一个基于YOLOv5的在Jetson Nano上实时、鲁棒的斑马线检测网络》论文的原生（ultralytics）yolov5训练、推理baseline仓库

centerface

face detection-可部署

check_table_dict_differ

检索hive数据库中表结构与数据字典表结构存在的差异

chinese-ocr

[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

chinese-poetry

🧶最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。

chinese_ocr

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

chineseocr_lite

超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M

cms_routing

Ship Routing Algorithms for Just-In-Time and Energy Efficient Voyages. By using a genetic algorithm we strive the lowest possible fuel consumption while at the same time keeping the scheduled deadlines. Two different specifications of the algorithm are available, one with a constant engine power, one with an over the route changeable engine power.