All course materials for the Zero to Mastery Machine Learning and Data Science course.
Python Data Science Handbook: full text in Jupyter Notebooks
A lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs in the web browser, on the desktop, on mobile, and inside Jupyter notebooks.
We write your reusable computer vision tools. π
Code for Machine Learning for Trading, 3rd edition β from data sourcing to live execution.
GVS5H: Five Qwen3.8-27B Models Match Claude Fable 5 on LiveCodeBench Hard | Fable 5 Level Coding for a Fifth the Price - or on a Single GPU
Python training for business analysts and traders
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Practice your pandas skills!
Source code for the X Recommendation Algorithm
Local-first AI trend radar and live-session distillation
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Automate code & data workflows with interactive Elixir notebooks
An atmospheric model for research: friendly, interactive, extensible, and built for speed
Jupyter Interactive Notebook
Energy Exascale Earth System Model source code. NOTE: use "maint" branches for your work. Head of master is not validated.
Make Complex Heatmaps