JuliaHub Resources

JuliaSim: Model Predictive Control (MPC) and Proportional-Integral-Derivative (PID) Control

Apr 27, 2022 | Dr. Fredrik Bagge Carlson

Performance Optimization of GPU Applications in Julia

Mar 31, 2022 | Dr. Tim Besard

SIMD in Julia

Mar 24, 2022 | Kristoffer Carlsson

Accelerating Functional Mock Up (FMU) Models

Feb 24, 2022 | Jacob Vaverka

End-to-End Machine Learning Workflow Using Julia

Feb 17, 2022 | Jeremie Bouchard

Building Kubernetes Integrated Julia Applications with Kuber.jl

Jan 18, 2022 | Tanmay Mohapatra

Performance Benchmarking in Julia

Nov 30, 2021 | Jameson Nash

Machine Learning on Time Series Data with Julia

Oct 27, 2021 | Dr. Elliot Saba

Financial Modeling on Large, Streaming Datasets

Oct 15, 2021 | Dr. Josh Day

GPU Programming In Julia

Aug 26, 2021 | Dr. Tim Besard

PackageCompiler and Static Compilation in Julia

Aug 17, 2021 | Kristoffer Carlsson

Pluto Notebook Support on JuliaHub

Jul 15, 2021 | Dr. Matt Bauman

Machine Learning with Multi-GPU Training

Jun 23, 2021 | Dr. Matt Bauman

Building Production Applications Using Julia

May 27, 2021 | Avik Sengupta

Parallel Computing for Enterprises in Julia

May 20, 2021 | Prof. Alan Edelman

Deployment of Models and Apps in Julia

Apr 23, 2021 | Dr. Matt Bauman

VIDEO - Pumas 2.0 Features: Censored and Truncated Data Models

Apr 20, 2021 | Mohamed Tarek

Parallelizing Data Science with Julia

Mar 17, 2021 | Dr. Elliot Saba

Pumas 2.0 for Integrated, Efficient and Scalable Pharmacometric Workflows

Mar 5, 2021 | Dr. Vijay Ivaturi

AMQP for Flexible and Robust Messaging in Julia

Feb 19, 2021 | Tanmay Mohapatra