Hypers
hypers: hyperspectral data structure, data analysis and machine learning
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| C Plus Plus | 28,990 | 20 days ago | 30 | mit | C++ | |||||
| Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes. | ||||||||||
| C | 17,588 | 3 months ago | 21 | gpl-3.0 | C | |||||
| Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes. | ||||||||||
| God Level Data Science Ml Full Stack | 3,384 | 4 months ago | 14 | Jupyter Notebook | ||||||
| A collection of scientific methods, processes, algorithms, and systems to build stories & models. Whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI | ||||||||||
| Docarray | 2,721 |  | 52 | 23 days ago | 732 | December 09, 2023 | 72 | apache-2.0 | Python | |
| Represent, send, store and search multimodal data | ||||||||||
| Hora | 2,469 | 7 months ago | 2 | August 07, 2021 | 23 | apache-2.0 | Rust | |||
| 🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 . | ||||||||||
| Ml Foundations | 2,224 | 10 months ago | 1 | mit | Jupyter Notebook | |||||
| Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science | ||||||||||
| Teaching | 802 | a year ago | gpl-3.0 | Mathematica | ||||||
| Teaching Materials for Dr. Waleed A. Yousef | ||||||||||
| Computerstudent | 764 | 8 months ago | 4 | mit | HTML | |||||
| 计算机专业系统性学习资料（python,c,c++,计算机组成，计算机网络，编译原理，电路，谷歌插件，爬虫） | ||||||||||
| Coursera | 746 | 3 years ago | 7 | Jupyter Notebook | ||||||
| Quiz & Assignment of Coursera | ||||||||||
| Jupyter | 696 | 6 months ago | 23 | mit | Jupyter Notebook | |||||
| The repository contains script and notebook related to Statistics, Machine learning, Neural network, Deep learning, NLP, Numerical methods, and Automation. | ||||||||||
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