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/aiexamples
some examples of AI
lihengtianxia/autofeat
Linear Regression Model with Automated Feature Engineering and Selection Capabilities
lihengtianxia/awesome-deep-reinforcement-learning-in-finance
🔬 A collection for those AI (RL / DL / SL / Evoluation / Genetic Algorithm) used in financial market. otherwise, we add Technology Analysis / Alpha Research / Arbitrage and other useful strategies tools & docs in quantitative finance market.
lihengtianxia/awesome-few-shot-learning
A curated list of resources about few-shot and one-shot learning
lihengtianxia/books
技术资料分享
lihengtianxia/deeprec-1
A easy library for recommendation system or computational advertising
lihengtianxia/entropy_based_binning
Entropy based binning of discrete variables.
lihengtianxia/Feature-Selection
Features selector based on the self selected-algorithm, loss function and validation method
lihengtianxia/flask-project
gunicorn+gevent+restful,一个标准的高并发flask项目
lihengtianxia/HitBoost
Survival Analysis via a Multi-output Gradient Boosting Decision Tree method
lihengtianxia/iScore
lihengtianxia/Leetcode-1
Play Leetcode with different Programming language
lihengtianxia/MDI
Missing Data Imputation Python Library
lihengtianxia/ML-React-App-Template
This is a template for creating a Machine Learning application with its front-end developed using React which interacts with a Flask service as the back-end and makes predictions.
lihengtianxia/mlhub
Collections of ML components and pipelines
lihengtianxia/mlxtend
A library of extension and helper modules for Python's data analysis and machine learning libraries.
lihengtianxia/nyoka
Nyoka is a Python library for comprehensive support of the latest PMML standard plus extensions for data preprocessing, script execution and highly compacted representation of deep neural networks. Using Nyoka, Data Scientists can export a large number of Machine Learning and Deep Learning models from popular Python frameworks into PMML by either using any of the numerous included ready-to-use exporters or by creating their own exporter for specialized/individual model types by simply calling a sequence of constructors.
lihengtianxia/OGeek-Competition
亚军方案分享
lihengtianxia/optimal-binning
compute best number of bins for a histogram
lihengtianxia/PyCodeComplete
Python入门教程,知乎专栏《Python实践之路》的文章和代码。
lihengtianxia/Python
All Algorithms implemented in Python
lihengtianxia/python-pmml
Generate and Evaluate PMML models in Python
lihengtianxia/python_bidirectional_stepwise_selection
Automated Bidirectional Stepwise Selection On Python
lihengtianxia/rulefit-feature-generator
Repository to generate RuleFit features in Python
lihengtianxia/scorecard_python_code
评分卡模型代码
lihengtianxia/scoring
lihengtianxia/shap
A unified approach to explain the output of any machine learning model.
lihengtianxia/Tensorflow-Cookbook
Simple Tensorflow Cookbook for easy-to-use
lihengtianxia/tf2_course
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
lihengtianxia/woevidence
Weight of evidence transformation