stokastik

Machine Learning Blog Tools

A collection of algorithms and code snippets for machine learning blog development

Algorithms and Codes for my machine learning blog

GitHub

30 stars
5 watching
20 forks
Language: Jupyter Notebook
last commit: almost 3 years ago

Related projects:

RepositoryDescriptionStars
jpzwolak/qflow-suiteA machine learning framework for training models on quantum dot data40
dask/dask-mlA Python library for scalable machine learning using Dask alongside popular ML libraries907
shanky-21/machine_learningA collection of machine learning techniques taught through interactive Jupyter Notebooks29
ogrisel/notebooksA collection of incomplete machine learning experiments in Jupyter Notebooks566
gmonce/scikit-learn-bookSource code and data for a machine learning book with Python tutorials393
zk-ml/researchResearch on integrating machine learning with emergent runtimes to improve performance and security.22
ardanlabs/training-aiProvides training materials and tools for building machine learning applications72
digitalglobe/mltoolsTools for building machine learning solutions on satellite imagery81
ml-tooling/ml-workspaceAn all-in-one web-based IDE for machine learning and data science3,446
amueller/scipy_2015_sklearn_tutorialTutorials and materials for learning machine learning with Python using popular libraries like scikit-learn.576
yandex/repA toolset for building and running reproducible machine learning experiments in Python689
katsko/dj_pug_htmx_exampleAn experimental web application showcasing the integration of HTMX and Django with Pug templating0
eli5-org/eli5A Python package for debugging and explaining predictions of machine learning classifiers265
rushter/data-science-blogsA curated list of data science blogs featuring articles and tutorials on machine learning and related topics.6,326
zygmuntz/kaggle-blackboxA toolkit for building and training machine learning models using a simple, easy-to-use interface.115