Stars
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
📺 Discover the latest machine learning / AI courses on YouTube.
Data and Code for Methods in Biostatistics in R
Files corresponding to Short Course: Introduction to Data Science Using R
📝 An awesome Data Science repository to learn and apply for real world problems.
An intuitive library to add plotting functionality to scikit-learn objects.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Probabilistic Torch is library for deep generative models that extends PyTorch
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
This course contains the notebooks for the Numerical Linear Algebra elective in USF's MSAN program, summer 2017
Race and ethnicity Imputation from Disease history with Deep LEarning
Neurolab is a simple and powerful Neural Network Library for Python
Some scripts in Python, Java and C++ for matrix multiplication.
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A Jupyter kernel for SAS. This opens up all the data manipulation and analytics capabilities of your SAS system within a notebook interface. Use the Jupyter Notebook interface to execute SAS code a…
A Python interface module to the SAS System. It works with Linux, Windows, and Mainframe SAS as well as with SAS in Viya.
Companion to the book: SAS® Viya™: The Python Perspective by Kevin D. Smith and Xiangxiang Meng.
A minimal example of using bookdown to write a book for Chapman & Hall/CRC
A general-purpose tool for dynamic report generation in R
A skeleton of my previous personal website based on blogdown and Hugo. I no longer use it.