18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

A game theoretic approach to explain the output of any machine learning model.

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

A guidance language for controlling large language models.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Code release for NeRF (Neural Radiance Fields)

This repository contains demos I made with the Transformers library by HuggingFace.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Automatic Generation of Visualizations and Infographics using Large Language Models

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

Open-source tool to visualise your RAG 🔮

A prompting enhancement library for transformers-type text embedding systems

Dataset for the Tensor Trust project

A jupyter notebook outlining the concept of Paice method of evaluating stemmers

A Self-Supervised network that removes fences from photos