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big-data-project

利用hadoop和spark生态中常见组件，详细步骤完成的大数据项目。

blockchain_guide

Introduce blockchain related technologies, from theory to practice with bitcoin, ethereum and hyperledger.

caffe

Caffe: a fast open framework for deep learning.

cascade-rcnn

Caffe implementation of multiple popular object detection frameworks

cn-deep-learning

https://cn.udacity.com/course/deep-learning-nanodegree-foundation--nd101/

codinginterviewchinese2

《剑指Offer》第二版源代码

codinginterviews

剑指Offer笔记

cornernet-lite

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cs-notes

:books: Tech Interview Guide 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计

cs224n-learning-camp

cs229

斯坦福大学机器学习（css229）笔记。

cs229-assignments

cs231n-camp-1

cs231n training camp

cs231n.github.io

Public facing notes page

csocks

⚡️一个轻巧的网络混淆代理🌏 inspiration from https://github.com/gwuhaolin/lightsocks

darknet

Convolutional Neural Networks

data-science-from-scratch

code for Data Science From Scratch book

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-science-notes

数据科学的笔记以及资料搜集

data100

back up for data 100, the upper division data science course @ UC Berkeley, taken spring 2018

dataset

The Open Images dataset

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-1

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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_object_detection

A paper list of object detection using deep learning.

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18个章节，50余万字。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_ai_books

deeplearning_ai_books

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.