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computer-vision-action

computer vision learning, include python machine learning action(sklearn); machinelearningaction; Computer vision based on deep learning ;Coursera_deeplearning.ai and other cv learning materials...

crab

Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).

cx-extractor-1.1

《基于行块分布函数的通用网页正文抽取》算法的Java实现；算法代码来源于该算法附带的开源实现，不过接下可能会对之修改。

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

data-analysis

Data Analysis Using Python

data-science-competition

该仓库用于记录和定期提供各大数据科学竞赛的赛事消息和原创baseline，思路分享以及博主的一些竞赛心得和学习资料等. 主要涵盖：kaggle, 阿里天池，华为云大赛校园赛，百度aistudio，和鲸社区，datafountain等

data-science-notes

数据科学的笔记以及资料搜集

day-day-up

记录每天的学习

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-in-production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deep-learning-papers-translation

深度学习论文翻译，包括分类论文，检测论文等

deep-learning-with-keras-notebooks

Jupyter notebooks for using & learning Keras

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

deep-person-reid

Deep learning person re-identification in PyTorch.

deep_learning

基础的深度学习实验研究结果汇总笔记

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

deeplearningimplementations

Implementation of recent Deep Learning papers

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

detect_steel_bar

CCFDF AI 数钢筋大赛

dingdang-robot

叮当是一款可以工作在 Raspberry Pi 上的中文语音对话机器人/智能音箱项目。

dl-project-template

深度学习工程模板

dl_defect

判断defect类型以及画出attention map

dl_tutorials

Deep learning tutorials (2nd ed.)

docker_image

GPU Docker Images

dockerfiles

Contain dockerfiles for building deep learning environments

e_victory_cement

easy-deep-learning-with-keras

Keras tutorial for beginners (using TF backend)

event-extraction

基于法律裁判文书的事件抽取及其应用，包括数据的分词、词性标注、命名实体识别、事件要素抽取和判决结果预测等内容