Pinned Repositories
100-Days-Of-ML-Code
100 Days of ML Coding
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
algorithms
Bug-tracking for Jeff's algorithms book, notes, etc.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
CS-Notes
:books: Computer Science Learning Notes
data-science-question-answer
A repo for data science related questions and answers
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，近30万字。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
DLInterview
Deep Learning Interview 深度学习面试题目汇总
HyperDL-Tutorial
深度学习教程整理 | 干货
interview_python
关于Python的面试题
PengfeiLv's Repositories
PengfeiLv/100-Days-Of-ML-Code
100 Days of ML Coding
PengfeiLv/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
PengfeiLv/algorithms
Bug-tracking for Jeff's algorithms book, notes, etc.
PengfeiLv/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
PengfeiLv/CS-Notes
:books: Computer Science Learning Notes
PengfeiLv/data-science-question-answer
A repo for data science related questions and answers
PengfeiLv/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，近30万字。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
PengfeiLv/DLInterview
Deep Learning Interview 深度学习面试题目汇总
PengfeiLv/HyperDL-Tutorial
深度学习教程整理 | 干货
PengfeiLv/interview_python
关于Python的面试题
PengfeiLv/LeetCode
LeetCode刷题总结
PengfeiLv/leetcode-1
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
PengfeiLv/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）
PengfeiLv/libsvm
PengfeiLv/LightGBM
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
PengfeiLv/ml-cheatsheet
Machine learning cheatsheet
PengfeiLv/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
PengfeiLv/NLP-Models-Tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP problems
PengfeiLv/PRML
PRML algorithms implemented in Python
PengfeiLv/pysheeet
Python Cheat Sheet
PengfeiLv/Python-100-Days
Python - 100天从新手到大师
PengfeiLv/python_interview_question
关于python的面试题
PengfeiLv/stanfordnlp
Official Stanford NLP Python Library for Many Human Languages
PengfeiLv/tensorflow
An Open Source Machine Learning Framework for Everyone
PengfeiLv/TensorFlow-Course
Simple and ready-to-use tutorials for TensorFlow
PengfeiLv/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
PengfeiLv/tensorflow2_tutorials_chinese
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials
PengfeiLv/the-art-of-command-line
Master the command line, in one page
PengfeiLv/wtfpython
A collection of surprising Python snippets and lesser-known features.
PengfeiLv/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow