Showing 21-40 of 109 projects
Docker images containing Jupyter applications for data science and machine learning workflows.
A multi-user server for Jupyter notebooks, enabling collaborative data science and AI development.
A curated collection of practical machine learning and data science notebooks and libraries across different industries.
Evidently is an open-source ML and LLM observability framework to evaluate, test, and monitor AI-powered systems.
This is a repository with sample Python programs for learning Python, covering topics like NumPy, Pandas, and Jupyter Notebooks.
Jupytext is a library that allows Jupyter Notebooks to be saved and version-controlled as Markdown, Julia, Python or R scripts.
Python code for a book on probabilistic machine learning, with support for various ML frameworks.
NYU Deep Learning Spring 2020 project for building and experimenting with deep learning models using PyTorch.
A collection of Jupyter notebooks for teaching and learning Python 3, useful for developers seeking to improve their Python skills.
A collection of notebooks covering quantitative finance and numerical methods in Python.
A comprehensive tutorial on practical AI and machine learning, with Jupyter Notebook examples.
Voilà turns Jupyter notebooks into standalone web applications, enabling interactive dashboards and visualizations.
A Jupyter Notebook project for creating delightful software with AI-powered tools
A comprehensive platform for learning, simulating, and live trading of stocks using AI and ML techniques.
A collection of tools for research in neural network interpretability, useful for AI-focused developers.
A collection of Jupyter Notebook files for data analysis using Python, including a Chinese translation of the popular 'Python for Data Analysis' book.
Create interactive web apps from Python notebooks with the mercury library.
A fast library for AutoML and hyperparameter tuning that can be used for various machine learning tasks.
Deepchecks is an open-source solution for thorough testing of ML models and data from research to production.
The Go kernel for Jupyter notebooks and nteract, enabling data science and numerical computing in Go.
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