Pinned Repositories
-py-
通用建模py代码
100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
100-Days-Of-ML-Code-1
100 Days of ML Coding
500LineorLess_CN
500 line or less 中文翻译计划。
Ad-papers
Papers on Computational Advertising
jianshu_network
对简书用户关注与被关注行为建立社交网络分析模型
MLAlgorithms
Minimal and clean examples of machine learning algorithms
pycard
tools for prerocessing and transforming data while developing credit scorecard。
Rong360
用户贷款风险预测
scorecardpy_by_ShichenXie
lihengtianxia's Repositories
lihengtianxia/Auto_TS
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.
lihengtianxia/automl_a_survey_of_state_of_the_art
AutoML: A Survey of State-of-the-Art
lihengtianxia/awesome-search-and-recommendation
An awesome paper reading list with focus on search, recommendation, and NLP
lihengtianxia/competition-baseline
数据科学竞赛各种baseline代码、思路分享
lihengtianxia/creditmodel
信用评分模型
lihengtianxia/cuml
cuML - RAPIDS Machine Learning Library
lihengtianxia/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
lihengtianxia/DeepGBM
Implementation for the paper "DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks", which has been accepted by KDD'2019.
lihengtianxia/deeplearning-models
A collection of various deep learning architectures, models, and tips
lihengtianxia/DeepRec
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
lihengtianxia/DeepRL
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
lihengtianxia/DeepTables
DeepTables: Deep-learning Toolkit for Tabular data
lihengtianxia/dive-into-cv-pytorch
动手学CV-Pytorch版
lihengtianxia/hypopt
⏸ Parallelized hyper-param optimization with validation set, not crossval
lihengtianxia/imbalanced-algorithms
Python-based implementations of algorithms for learning on imbalanced data.
lihengtianxia/KnowledgeGraph_AAAI2019
lihengtianxia/ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
lihengtianxia/modelling
modelling tools, include feature engineering, algorithms, evaluation, visualization
lihengtianxia/neural-backed-decision-trees
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
lihengtianxia/notebook-1
本repo用于编辑和分享“青衣极客”频道的笔记文件
lihengtianxia/open-box
Generalized and Efficient Blackbox Optimization System [SIGKDD'21].
lihengtianxia/publications
IMS Machine Learning Lab publications.
lihengtianxia/pypmml
Python PMML scoring library
lihengtianxia/PySyft
A library for answering questions using data you cannot see
lihengtianxia/Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
lihengtianxia/Tianchi-AntaiCup-International-E-commerce-Artificial-Intelligence-Challenge
1st place solution for the AntaiCup-International-E-commerce-Artificial-Intelligence-Challenge
lihengtianxia/toad
ESC Team's scorecard tools
lihengtianxia/Vertical-Federated-Learning
lihengtianxia/xgb2sql
lihengtianxia/Yolov5-Flask-VUE
基于Flask开发后端、VUE开发前端框架，在WEB端部署YOLOv5目标检测模型