luojiejian Goto Github PK

2019_campus_apply

:rocket: 备战秋招/面试，CS学习笔记。金九银十，你准备好了吗？from zero to hero.

ad-papers

Papers on Computational Advertising

ali-ijcai-ad

ALI-IJCAI-AD

autograd

Efficiently computes derivatives of numpy code.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-recsys-papers

The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

bash-scripts

Learning shell through small projects

clrs

:notebook:Solutions to Introduction to Algorithms

data-science-blogs

A curated list of data science blogs

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.

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-papers-reading-roadmap

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

deep-learning-specialization-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

dml

D's Machine Learning is a machine learning toolkit for python,focus on rightness but efficiency

easy-job

:fire::fire:2017互联网求职面试知识复习

feature-selection

For general feature selection

ffm-tencent

github-for-developers-7

hadoop-book

Example source code accompanying O'Reilly's "Hadoop: The Definitive Guide" by Tom White

hello-world

another repository

interview-notebook

:books: 技术面试需要掌握的基础知识整理

interview_notes-chinese

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记

interviews

Everything you need to know to get the job.

jieba

结巴中文分词

kaggle-101

include my python solutions to the "101 beginning problem set" on kaggle.

kaggle-solution

Solution Code for Kaggle Competition

laravel

A PHP Framework For Web Artisans

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.

machine_learning_techniques

In which I implement some applications of machine learning techniques.

manim

Animation engine for explanatory math videos