🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库
updated at June 25, 2024, 2:53 a.m.
Tools for exploratory data analysis in Python
updated at June 25, 2024, 5:24 a.m.
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
updated at June 25, 2024, 8:08 a.m.
A comprehensive library for machine learning and numerical computing. The library provides a set of tools for linear algebra, numerical computing, optimization, and enables a generic, powerful yet still efficient approach to machine learning.
updated at June 25, 2024, 9:47 a.m.
Jupyter notebooks from the scikit-learn video series
updated at June 25, 2024, 10:42 a.m.
CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.
updated at June 25, 2024, 11:33 a.m.
Examples of Machine Learning code using Comet.ml
updated at June 25, 2024, 1 p.m.
Winning solution for the Galaxy Challenge on Kaggle (http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge)
updated at June 25, 2024, 1:06 p.m.
Interactive arts and charts plotting with Clojure(Script) and Vega-lite / Vega. Flower viewing 花見 (hanami)
updated at June 25, 2024, 1:38 p.m.
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
updated at June 25, 2024, 1:47 p.m.
ThunderGBM: Fast GBDTs and Random Forests on GPUs
updated at June 25, 2024, 1:49 p.m.
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
updated at June 25, 2024, 1:51 p.m.