Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Sidechainnet | 256 | 4 | a year ago | 11 | November 02, 2023 | 9 | bsd-3-clause | Python | ||
An all-atom protein structure dataset for machine learning. | ||||||||||
Pycroscopy | 241 | 1 | 7 months ago | 86 | August 09, 2023 | 48 | mit | Jupyter Notebook | ||
Scientific analysis of nanoscale materials imaging data | ||||||||||
Atom | 137 | 5 months ago | 48 | June 14, 2023 | 8 | mit | Jupyter Notebook | |||
Automated Tool for Optimized Modelling | ||||||||||
Machinelearning | 65 | 5 years ago | MATLAB | |||||||
机器学习师从Andrew Ng(吴恩达),获得在Coursera平台上斯坦福大学Andrew Ng(吴恩达教授)机器学习(Machine Learning)的资格证书,为了有一个平台和大家分享和交流机器学习,因此特地在此进行课程的:笔记整理,重点划分,内置习题,在线习题,在线编程题等整理。后期会持续更新吴恩达教授的深度学习的课程,以及后期参加Kaggle比赛的全过程,希望大家持续关注噢。 | ||||||||||
Gdynet | 47 | 2 years ago | 1 | mit | Jupyter Notebook | |||||
Unsupervised learning of atomic scale dynamics from molecular dynamics. | ||||||||||
Feed Visualizer | 22 | a year ago | apache-2.0 | HTML | ||||||
Feed Visualizer creates interactive visualizations by clustering RSS/Atom feed items based on semantic similarity. Feed Visualizer also attempts to automatically predict the labels for each cluster. This application will create a "semantic summary" of a website's contents by scanning its RSS/Atom feed, allowing for easy discovery and navigation to topics of interest. Feed Visualizer creates interactive visualizations in the form of static HTML and JS files, which may be edited and sent to a server. | ||||||||||
Atomai | 11 | 4 years ago | mit | Python | ||||||
Deep and machine learning for atomic-scale and mesoscale data | ||||||||||
Spms | 10 | 4 months ago | mit | Python | ||||||
A Molecular Stereostructure Descriptor based on Spherical Projection | ||||||||||
Language Sml | 9 | 7 years ago | 3 | other | ||||||
Standard ML language support for Atom | ||||||||||
Python Snippets | 7 | a year ago | mit | Python | ||||||
Useful Python snippets for data science and more |