ipython
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
mbari-pbp
Process ocean audio data archives to daily analysis products of hybrid millidecade spectra using PyPAM.
polyaxon
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
gtoolkit
Glamorous Toolkit is the Moldable Development Environment. It empowers you to make systems explainable through contextual micro tools.
computer-vision-in-action
A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页
aroma.affymetrix
🔬 R package: Analysis of Large Affymetrix Microarray Data Sets
notebook-examples
Example notebooks showing how to work with ECMWF services and data
https://github.com/agahkarakuzu/sunrise
NumPy, SciPy, MRI and Music | Presented at ISMRM 2021 Sunrise Educational Session
https://github.com/nteract/bookstore
📚 Notebook storage and publishing workflows for the masses
xp
A framework (comand line tool + libraries) for creating flexible compute pipelines
https://github.com/jku-vds-lab/loops
Loops is a JupyterLab extension to support iterative and exploratory data analysis in computational notebooks.
https://github.com/callumrollo/github-scraper
Scraping GitHub to visualise users' commits during a hackweek
https://github.com/afm-spm/jupyterlite-topostats
Run TopoStats Notebooks directly in your browser.
https://github.com/arturoeanton/go-notebook
Go-Notebook is inspired by Jupyter Project (link) in order to document Golang code.
workbench-sydney-speaks
Workbench for corpus tools accessing the Sydney Speaks corpus
https://github.com/cedrickchee/numpy-100
Practice NumPy with 100 exercises. I keep my own solutions in this repo.
https://github.com/bjmorgan/data_f-tio2_intercalation_anions
Data analysis for DFT calculations of intercalation into (F/OH)-TiO2
jupyter-tutorial
Training materials for setting up and using a research infrastructure based on Jupyter notebooks: https://cusy.io/en/seminars
https://github.com/compas-dev/compas_notebook
Visualisation of COMPAS objects in Jupyter notebooks
https://github.com/0rc0/neuromet_mp2rage_pypes
Pipelines for structural analysis for NeuroMet Project
jupyterlabpymolpysnips
Python snippets for PyMOL to be run in Jupyterlab via the jupyterlab-snippets-multimenus extension.
jupyter-tutorial-de
Schulungsmaterialen für den Aufbau und die Nutzung einer Forschungsinfrastruktur auf Basis von Jupyter Notebooks: https://cusy.io/de/seminare
https://github.com/darkstarstrix/nexa_inference
A inference application to serve Scientific Models
https://github.com/araffin/rl-tutorial-jnrr19
Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
https://github.com/amr-yasser226/deep-learning-journal
A personal collection of Jupyter notebooks, scripts, and resources documenting my exploration and learning in Deep Learning. From foundational neural network concepts to advanced transformer architectures, this repo tracks experiments, notes, and implementations.
https://github.com/cheind/py-cgraph
:tangerine: Intro to symbolic computation in Python including applications to function optimization, physics simulation and more. Includes notebooks on back-propagation, auto-diff and more.