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The Hitchhiker's Guide to Data Science for Social Good
AI model evaluation with a focus on healthcare
Access large language models from the command-line
Examples Repository for PyTorch Extension - Perforated Backpropagation by Perforated AI
API for PyTorch Extension - Perforated Backpropagation by Perforated AI
Common Workflow Language reference implementation
Cookbook to set up secure jupyterhub using microk8s on your own hardware
On-premises conversational RAG with configurable containers
A Model Context Protocol Server for MongoDB
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …
Computed tomography to body composition (Comp2Comp).
Neo: Hierarchical Confusion Matrix Visualization (CHI 2022)
Imaging Biomarkers and Computer-Aided Diagnosis Laboratory
Uncertainty Quantification using Polynomial Chaos Expansion (UQPCE) is an open source, python based research code for use in parametric, non-deterministic computational studies. UQPCE utilizes a no…
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
The Self-hosted AI Starter Kit is an open-source template that quickly sets up a local AI environment. Curated by n8n, it provides essential tools for creating secure, self-hosted AI workflows.
Follow along with my AI Agents Masterclass videos! All of the code I create and use in this series on YouTube will be here for you to use and even build on top of!
Mowoli - A Modality Worklist with RESTful HTTP API
Batteries-included template for Python ChRIS plugins.
Merlin is a 3D VLM for computed tomography that leverages both structured electronic health records (EHR) and unstructured radiology reports for pretraining.
Machine learning models for multi-organ, multi-disease prediction in chest CT volumes. From paper Draelos et al. "Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Compu…