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Source for book "Feature Engineering A-Z"
🤖 💼 Azure Chat Solution Accelerator powered by Azure Open AI Service
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.
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.
Aligning pretrained language models with instruction data generated by themselves.
Code and documentation to train Stanford's Alpaca models, and generate the data.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Code for the paper "Jukebox: A Generative Model for Music"
Robust Speech Recognition via Large-Scale Weak Supervision
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://learn.microsoft.com/python/azure/ or our v…
The official Python library for the OpenAI API
Examples and guides for using the OpenAI API
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Machine learning with scikit-learn tutorial at PyData Chicago 2016
Modin: Scale your Pandas workflows by changing a single line of code
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
Amazon SageMaker Local Mode Examples
Multi Model Server is a tool for serving neural net models for inference
Demostración de Amazon SageMaker Autopilot realizando una clasificación multiclase.
Build end-to-end Machine Learning pipeline to predict accessibility of playgrounds in NYC
Vehicle Make and Model Recognition Dataset (VMMRdb)
Machine Learning University: Accelerated Natural Language Processing Class
Repository of my thesis "Understanding Random Forests"