Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Orange3 | 4,469 | 57 | 47 | 3 months ago | 63 | October 31, 2023 | 99 | other | Python | |
🍊 :bar_chart: :bulb: Orange: Interactive data analysis | ||||||||||
Machine Learning With Python | 2,980 | a year ago | 8 | bsd-2-clause | Jupyter Notebook | |||||
Practice and tutorial-style notebooks covering wide variety of machine learning techniques | ||||||||||
Data Science Complete Tutorial | 1,575 | a year ago | 12 | Jupyter Notebook | ||||||
For extensive instructor led learning | ||||||||||
Connected Components 3d | 289 | 1 | 18 | 4 months ago | 53 | August 26, 2023 | 12 | gpl-3.0 | C++ | |
Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants. | ||||||||||
Ml | 153 | a year ago | gpl-3.0 | Python | ||||||
经典机器学习算法的极简实现 | ||||||||||
Tiny_ml | 137 | 4 years ago | Python | |||||||
numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法 | ||||||||||
30 Days Of Ml Kaggle | 93 | 3 years ago | mit | Jupyter Notebook | ||||||
Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning. | ||||||||||
25daysinmachinelearning | 48 | 3 years ago | 1 | Jupyter Notebook | ||||||
I will update this repository to learn Machine learning with python with statistics content and materials | ||||||||||
Pytrain | 18 | 2 years ago | 12 | January 17, 2017 | 3 | mit | Python | |||
Machine Learning library for python | ||||||||||
Email Spam Detection | 11 | 4 months ago | Python | |||||||
This project focuses on detecting Persian spam emails using machine learning algorithms. The goal is to develop an effective spam detection system using various word embedding techniques and classification algorithms. The project utilizes three word embedding algorithms: TF-IDF, Frequency of Words, and Bag of Words. Additionally, six classification |