dupuleng

Analytics_Vidhya

Codes related to activities on AV including articles, hackathons and discussions.

Di-tech

滴滴出行供需预测大赛--十强

Familia

A Toolkit for Chinese Topic Modeling

fastdtw

A Python implementation of FastDTW

Horizon

A platform for Applied Reinforcement Learning (Applied RL)

IntelliJ-IDEA-Tutorial

IntelliJ IDEA 简体中文专题教程

kaggle-web-traffic

1st place solution

Kaktusio

Go-Search - Machine learning powered Heatmap to predict supply-demand gap for ride hailing services across city.

labelImg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

learning-spark

Example code from Learning Spark book

libffm

A Library for Field-aware Factorization Machines

models

Models and examples built with TensorFlow

my-git

Individual collecting material of learning git（有关 git 的学习资料）

PARL

PARL PaddlePaddle Reinforcement Learning Framework

phpunit-documentation

Documentation for PHPUnit.

PRML

PRML algorithms implemented in Python

pyamap

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

scikit-learn

scikit-learn: machine learning in Python

sgcrfpy

SGCRFpy: Sparse Gaussian Conditional Random Fields in Python

Simulator

Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning

spark-py-notebooks

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

styleguide

Style guides for Google-originated open-source projects

Supply-demand-forecasting

supply demmand gap prediction for ride-hailing

tensorflow-DeepFM

Tensorflow implementation of DeepFM for CTR prediction.

tensorflow-XNN

4th Place Solution for Mercari Price Suggestion Challenge on Kaggle (https://www.kaggle.com/c/mercari-price-suggestion-challenge)

visdom

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

wide_deep

Wide and Deep Learning for CTR Prediction in tensorflow

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