A modular graph-based Retrieval-Augmented Generation (RAG) system

Example Shiny for Python app which talks to the OpenAI API

High-performance runtime for data analytics applications

Annotated Microsoft Azure documentation links used throughout day to day technical conversations.

Data Analysis Baseline Library

Resources for Machine Learning Operations with R

♾️ CML - Continuous Machine Learning | CI/CD for ML

Dr. Elephant is a job and flow-level performance monitoring and tuning tool for Apache Hadoop and Apache Spark

A multilingual glossary for computing and data science terms.

Microsoft Azure Traces

Peregrine is a workload optimization platform for cloud query engines. The goal of Peregrine is three-fold: 1. make it easier to ingest and analyze query workload telemetry into a common engine-agn…

A curated list of references for MLOps

The Common Data Model (CDM) is a standard and extensible collection of schemas (entities, attributes, relationships) that represents business concepts and activities with well-defined semantics, to…

Gaussian Process Optimization using GPy

Development of bioacoustic tools for analyzing Orcasound data -- either post-processing of archived raw FLAC files or real-time analysis of the lossy stream and/or FLAC files.

Automatically exported from code.google.com/p/smhasher

scikit-learn: machine learning in Python

Dropout As A Bayesian Approximation: Code

ML.NET is an open source and cross-platform machine learning framework for .NET.

Hummingbird compiles trained ML models into tensor computation for faster inference.

Collection of analyses, packages, visualisations of COVID-19 data in R

The repository contains an ongoing collection of tweets IDs associated with the novel coronavirus COVID-19 (SARS-CoV-2), which commenced on January 28, 2020.

R & stats illustrations by @allison_horst

Whisper is a minimal documentation theme for Hugo.

Links to slides for rstudio::conf 2020

Code and Resources for "Applied Machine Learning"

Box2D is a 2D physics engine for games