PandasCute

2018-ORANGE-FINANCIAL-BIG-DATA-top9

2018年甜橙金融杯大数据建模大赛-初赛第四-复赛线上11-决赛9-复现top1解决方案-【二分类，风控】

how-to-use-xgb-lgb

这是一个专门教你使用xgb,lgb的github-【baseline构建】

how-to-Building-a-recommendation-system

这是一个构建推荐系统的git.

how-to-Time-series-modeling

这是一个专门来专门教你时间序列建模的github

Provide-Banks-with-precision-marketing-solutions-Provide-Banks-with-precision-marketing-solutions

「二分类算法」提供银行精准营销解决方案 | 练习赛-0.93984283-【二分类，特征组】

Python-100-Days

Python - 100天从新手到大师

Context-Aware-Multi-Modal-Transportation-Recommendation

KDD CUP 2019 Baseline

KDD-Cup-2019-CAMMTR

Context-Aware Multi-Modal Transportation Recommendation

kdxf-fanqizha

kdxf 移动广告反欺诈算法挑战赛

Lanl-Earthquake-Prediction-Model

Kaggle Competition : LANL Earthquake Prediction

Ai-learn

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理等热门领域

book

Deep Learning 101 with PaddlePaddle （深度学习框架入门教程）

CCF-BDCI-Sentiment-Analysis-Baseline

The code for CCF-BDCI-Sentiment-Analysis-Baseline

cgnn

Crystal Graph Neural Networks

LANL

lanl earthquake prediction

MSDS696-Masters-Final-Project

Earthquake Prediction Challenge with LightGBM and XGBoost

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Stage

工程与学术笔记

XF2019-Anti-fraud

Baseline

cc_fraud_proj

Playing with the IEEE-CIS Vesta fraud detection competition

ccf_2020_qa_match

ccf 2020 qa match competition top1

KDDCUP20-Debiasing-Top5

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

openbilibili-go-common

听说这是来自 https://github.com/openbilibili/go-common/ 的 “哔哩哔哩 bilibili 网站后台工程 源码”，不过咱也不知道这是啥。

PandasCute

RecommendRelative

推荐系统相关模型 包括召回和排序

SR-GNN

Source code and datasets for the paper "Session-based Recommendation with Graph Neural Networks" (AAAI-19)

tuling-video-click-top3

图灵联邦视频点击预测大赛线上第三

world-Machine-learning-contest-website

kaggle和国内比赛平台-让小比赛无处遁形

xlearn

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.