This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web, vision.

Library of graph clustering algorithms

A JAX-based simulator for autonomous driving research.

Web labeling tool for bitmap images and point clouds

Active Subspace Data Sets

Fuzzy String Matching in Python

Deep learning for audio processing

Interfacing Carla with MATLAB using Python and ROS

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

Simulation of Manufacturing Systems

Companion webpage for the book "Bayesian Optimization" by Roman Garnett

Parallelizable Bayesian Optimization in R

Autodesk Forge application demonstrating various use cases in manufacturing, specifically in context of digital twins.

Simulate a 6-DOF (degrees of freedom) pick and place unit with Blender and MQTT and control the unit from your web browser.

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Using NVIDIA modulus for airfoil optimizations at different angles.

3D CNN to predict single-phase flow velocity fields

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Dockerize and deploy machine learning model as REST API using Flask

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

List of tools & datasets for anomaly detection on time-series data.

📝 An awesome Data Science repository to learn and apply for real world problems.

A curated list of data engineering tools for software developers

😎 A curated list of awesome MLOps tools

A curated list of references for MLOps