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Exploratory data analysis for the Adult or Census Income dataset from UCI Machine Learning Repository : https://archive.ics.uci.edu/ml/datasets/adult
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
Automated feature engineering in Python with Featuretools
Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
The most comprehensive database of Chinese poetry 🧶最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人,21050首词。
吴恩达老师的机器学习课程个人笔记
For extensive instructor led learning
数据科学的笔记以及资料搜集
Basic data mining model, including feature importance display
Implementation for the paper "DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks", which has been accepted by KDD'2019.
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Tips for Advanced Feature Engineering
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
An open source python library for automated feature engineering
Source code of Graph-Bert
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
《统计学习方法》的代码实现
Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost
Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.
机器学习初学者公众号作品
Using Kafka-Python to illustrate a ML production pipeline
mlmachine accelerates machine learning experimentation
demo of scikit-learn pipelines
A general-purpose framework for solving problems with machine learning applied to predicting customer churn
A game theoretic approach to explain the output of any machine learning model.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.