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💫 Toolkit to help you get started with Spec-Driven Development
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
A modular graph-based Retrieval-Augmented Generation (RAG) system
Integrate cutting-edge LLM technology quickly and easily into your apps
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
A collaborative, community-powered tech summit for innovative engineers to share knowledge and shape the future of software development.
A guidance language for controlling large language models.
Examples and guides for using the OpenAI API
Extremely fast Query Engine for DataFrames, written in Rust
DataOps for Microsoft Data Platform technologies. https://aka.ms/dataops-repo
Demonstrate samples and good engineering practice for operationalizing machine learning solutions.
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.
A Python package to assess and improve fairness of machine learning models.
Knowledge Extraction For Forms Accelerators & Examples
Natural Language Processing Best Practices & Examples
Best Practices on Recommendation Systems
Best Practices, code samples, and documentation for Computer Vision.
A secure execution environment for conducting machine learning trials against confidential data.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
📘 The interactive computing suite for you! ✨
Interactive Tools for Machine Learning, Deep Learning and Math
Samples and Tools for Windows ML.
Fit interpretable models. Explain blackbox machine learning.
This is the playbook for "code-with" customer or partner engagements