Stars
A Causal Inference Framework for Environmental Data Analysis
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.
Makes algorithms/code in Tetrad available in Python via JPype
Awesome images for commercial and noncommercial purposes
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版
Translate PDF, EPub, webpage, metadata, annotations, notes to the target language. Support 20+ translate services.
A C++ & Python viewer for 3D data like meshes and point clouds
Easy to use Python library of customized functions for cleaning and analyzing data.
中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…
Apache Superset is a Data Visualization and Data Exploration Platform
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Visualizer for neural network, deep learning and machine learning models
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Evolutionary algorithm toolbox and framework with high performance for Python
A python library for decision tree visualization and model interpretation.
RHowlearn / mljar-supervised
Forked from mljar/mljar-supervisedPython package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
😎 A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。
A research toolkit for particle swarm optimization in Python
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling sa…