Kris Bock's repositories
FTALive-Sessions
This repository is a public-facing source of information for FastTrack for Azure Live sessions.
speech_whisper
Batch transcription using Azure Speech Service with the OpenAI Whisper model
variant-databricks
Secure Databricks cluster with Data exfiltration Protection and other services using Bicep
adatest
Find and fix bugs in natural language machine learning models using adaptive testing.
aicommits
A CLI that writes your git commit messages for you with AI
aml-rai
Demo code for Responsible AI vNext
azure-docs
Open source documentation of Microsoft Azure
azure-search-vector-samples
A repository of code samples for Vector search capabilities in Azure AI Search.
azureml-examples
Official community-driven Azure Machine Learning examples, tested with GitHub Actions
course22
The fast.ai course notebooks
course22p2
course.fast.ai 2022 part 2 - under construction
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
generative-ai-for-beginners
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
krisbock.github.io
Kris' blog
live555rtsp
Public repo to download Live555 RTSP server
llmops-promptflow-template
LLMOps with Prompt Flow is a "LLMOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Management, Variant and Hyperparameter Experimentation, A/B Deployment, reporting for all runs and experiments and so on.
micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
mslearn-mlops-r
This repository contains hands-on challenges for end-to-end machine learning operations (MLOps) with Azure Machine Learning.
promptflow
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
rai-genai-workshop
Walkthrough of responsible AI tools in Azure specific to generative AI
responsible-ai-toolbox
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
responsible-ai-workshop
Responsible AI Workshop: a series of tutorials & walkthroughs to illustrate how put responsible AI into practice
ResponsibleAIAccelerator
Repo to hold examples of responsible model assessment for a variety of different verticals such as healthcare and financial services
shinyShell
Shell customisations for Linux
SQL-AI-samples
Samples using AI and Azure SQL DB