jupyter-naas / awesome-notebooksLinks
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
☆2,969Updated last year
Alternatives and similar repositories for awesome-notebooks
Users that are interested in awesome-notebooks are comparing it to the libraries listed below
Sorting:
- The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to exp…☆2,172Updated 7 months ago
- Efficient Python Tricks and Tools for Data Scientists☆1,479Updated 9 months ago
- AI-related tutorials. Access any of them for free → https://towardsai.net/editorial☆1,012Updated last year
- This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and b…☆1,397Updated last week
- Probably the best curated list of data science books in Python☆428Updated 3 months ago
- Template for a data science project☆775Updated 5 months ago
- Collection of useful data science topics along with articles, videos, and code☆4,175Updated 2 months ago
- The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️☆3,621Updated 8 months ago
- 🧙 A web app to generate template code for machine learning☆1,380Updated 2 years ago
- A collection of resources to learn about MLOPs.☆972Updated 2 years ago
- A curated list of awesome MLOps tools☆4,997Updated last month
- Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Gra…☆1,884Updated last year
- Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet☆2,609Updated this week
- Curated list of open source tooling for data-centric AI on unstructured data.☆734Updated 2 years ago
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.☆2,475Updated this week
- Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.☆968Updated 11 months ago
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,124Updated 2 weeks ago
- A comprehensive list of free resources for learning data science☆414Updated 3 years ago
- Create web apps from Python notebooks☆4,294Updated last week
- A comprehensive collection of Jupyter Notebook templates for data science tasks, developed to improve workflow efficiency and cover a wid…☆75Updated 2 years ago
- Automatically visualize your pandas dataframe via a single print! 📊 💡☆5,370Updated last year
- 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.☆2,878Updated 2 years ago
- nannyml: post-deployment data science in python☆2,122Updated 6 months ago
- 🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.☆1,185Updated this week
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆3,287Updated last year
- ☆2,284Updated 2 years ago
- Machine Learning Notebooks☆3,430Updated last year
- A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/☆1,133Updated 7 months ago
- 💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab…☆1,113Updated 6 months ago
- 50 scikit-learn tips☆1,744Updated 3 years ago