-
University of Michigan
- Ann Arbor, MI, USA
- https://www.linkedin.com/in/mukai-wang
Stars
Diffusion model papers, survey, and taxonomy
Understanding Deep Learning - Simon J.D. Prince
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…
This is where the students will find the colabs/datasets etc
Python package to read and write R RData and Rds files into/from pandas dataframes. No R or other external dependencies required.
Nonnegative matrix factorization from binary data
For deep learning and pytorch education
https://www.sc-best-practices.org
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
The GPT-RAG Orchestrator service is an agentic orchestration layer built on Azure AI Foundry Agent Service and the Semantic Kernel framework. It enables agent-based RAG workflows by coordinating mu…
Azure Quickstart Templates
Docker containers for running training scripts on AzureML
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
Build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain.js, TypeScript and Azure
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
A continually expanding collection of microbiome analysis tools
R Shiny application for exploring 20 years of blood pressure data from NHANES
Generalized Optimal Sparse Decision Trees
ubc-systopia / treeFarms
Forked from ubc-systopia/gosdt-guessesTrees FAst RashoMon Sets
Joint graphical horseshoe for multiple network inferce with shared information
epispot R package - Annotation-driven approach for large-scale joint regression with multiple responses
atlasqtl R package - Fast global-local hotspot QTL detection
Count Regression for Correlated Observations with the Beta-binomial



