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A library for debugging/inspecting machine learning classifiers and explaining their predictions
很简单的特征选择代码实现。
A framework for implementing federated learning
:books: Freely available programming books
Accompanying repository for GkmExplain paper
Highly comparative time-series analysis code repository
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Materials for paper about iBreakDown
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍,没准你想找的书就在这里呢,包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列(常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习,深度学习等等),大数据系列(Spark,Hadoop,Scala,kafka等),程序员必修系列(C、C++、java、数据结构、linux,设计模式、数据库等等)
Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market
Keras package for deep residual networks
李宏毅《机器学习》笔记,在线阅读地址:https://datawhalechina.github.io/leeml-notes
A simple script demonstrate how to use GridSearchCV with LightGBM(LGBM) and early stopping
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
short-term load forecasting with deep residual networks
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
Multi channel deep convolutional neural network for time series classification
Applying the Catboost algorithm to classify medical referrals as "denied" or "approved".
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
H2O.ai Machine Learning Interpretability Resources
Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks).
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMA-ES
Python3 binding to mRMR Feature Selection algorithm (currently not maintained)
A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
All Algorithms implemented in Python
Implementation of AIFT algorithm for lung nodule classification
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
scikit-learn: machine learning in Python
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.