Play-with-Machine-Learning-Algorithms
BestPractices
Our great sponsors
Play-with-Machine-Learning-Algorithms | BestPractices | |
---|---|---|
15 | 1 | |
1,241 | 155 | |
- | - | |
1.8 | 2.8 | |
over 1 year ago | 6 months ago | |
Jupyter Notebook | Jupyter Notebook | |
- | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Play-with-Machine-Learning-Algorithms
BestPractices
-
Ideas for Materials Science / Data Science projects
My research group recently wrote the definitive best practice guide for getting into this field. We provide a GitHub with some example data that you could take a look at. The code snippets will be really useful because we have them really well commented. https://github.com/anthony-wang/BestPractices
What are some alternatives?
RACplusplus - A high performance implementation of Reciprocal Agglomerative Clustering in C++
nbdev - Create delightful software with Jupyter Notebooks
fastpages - An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
py - Repository to store sample python programs for python learning
pymatgen - Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.
reinforcement_learning_course_materials - Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
jupytemplate - Templates for jupyter notebooks
jupyter-memgraph-tutorials - Learn to use Memgraph and GQLAlchemy quickly with the help of Jupyter Notebooks
jupyter-memgraph-tutorials - Learn to use Memgraph and GQLAlchemy quickly with the help of Jupyter Notebooks [Moved to: https://github.com/memgraph/jupyter-memgraph-tutorials]
machine-learning-experiments - 🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
dmol-book - Deep learning for molecules and materials book
domaine-nc-jupyter-notebook - Jupyter Notebook dédié à la l'analyse des noms de domaines en Nouvelle-Calédonie