Pinned Repositories
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
data100
back up for data 100, the upper division data science course @ UC Berkeley, taken spring 2018
deeplearning_ai_books
deeplearning_ai_books
Ylq-127's Repositories
Ylq-127/CodingInterviews
剑指Offer笔记
Ylq-127/CornerNet-Lite
Ylq-127/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
Ylq-127/csocks
⚡️一个轻巧的网络混淆代理🌏 inspiration from https://github.com/gwuhaolin/lightsocks
Ylq-127/data-science-from-scratch
code for Data Science From Scratch book
Ylq-127/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.
Ylq-127/Data-Science-Notes
数据科学的笔记以及资料搜集
Ylq-127/deep_learning_object_detection
A paper list of object detection using deep learning.
Ylq-127/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scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
Ylq-127/DEye
Keep an Eye on Defects Inspection.
Ylq-127/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet代码实现改为PyTorch实现。
Ylq-127/fe
A tiny, embeddable language implemented in ANSI C
Ylq-127/fe4ml-zh
:book: [译] 面向机器学习的特征工程
Ylq-127/GitHub-Chinese-Top-Charts
:cn: GitHub中文排行榜,帮助你发现高分优秀中文项目、更高效地吸收国人的优秀经验成果;榜单每周更新一次,敬请关注!(最近更新于10月1日,国庆节快乐 :tada:)
Ylq-127/kafka-eagle
A easy and high-performance monitoring system, as well as offsets or metadata and other kafka information.
Ylq-127/Learning-from-data
记录Learning from data一书中的习题解答
Ylq-127/leetcode
:ox: leetcode in c/c++
Ylq-127/LeetCode_Note
刷LeetCode题解及笔记
Ylq-127/LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)
Ylq-127/lihang_book_algorithm
致力于将李航博士《统计学习方法》一书中所有算法实现一遍
Ylq-127/linux
Linux kernel source tree
Ylq-127/Machine-Learning-Session
Ylq-127/NTU-Machine-learning
**大学李宏毅老师机器学习
Ylq-127/pumpkin-book
《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book
Ylq-127/segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
Ylq-127/shadowsocks
shadowsocks.wiki
Ylq-127/streaming-offset-to-zk
一个手动管理spark streaming集成kafka时的偏移量到zookeeper中的小项目
Ylq-127/sweetviz
Visualize and compare datasets, target values and associations, with one line of code.
Ylq-127/TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Ylq-127/TensorFlow-Tutorials
Simple tutorials using Google's TensorFlow Framework