Probabilistic Modelling with Turing.jl | David Widmann | Julia User Group Munich - Share&Code Published 2021-12-02 Download video MP4 360p Recommendations 27:06 [08x10] Intro to Probabilistic Programming in Julia using Turing.jl and Pluto 17:38 The moment we stopped understanding AI [AlexNet] 20:18 Why Does Diffusion Work Better than Auto-Regression? 12:23 Solid State Batteries Are REALLY Here: Yoshino Power Station 29:40 [09x07] Intro to Bayesian Time Series Analysis & Predictions | Turing.jl Autoregressive AR(2) Model 29:12 Fons Van Der Plas Pluto jl – reactive and reproducible notebooks for Julia | JupyterCon 2023 17:59 How a Hobbyist Solved a 50-Year-Old Math Problem (Einstein Tile) 23:12 RxInfer.jl: A Package for Real-Time Bayesian Inference | Dmitry Bagaev | JuliaCon 2023 04:03 Biggest Megaprojects Under Construction in 2024 05:28 Chris Lattner on Julia programming language | Lex Fridman Podcast Clips 1:11:00 GPU programming in Julia - What, Why and How | Tim Besard | Julia User Group Munich 35:38 The Failure of Modern Technology | Peter Thiel 24:59 How to train simple AIs to balance a double pendulum 10:06 Monte Carlo Simulation 11:14 The Man Who Solved the World’s Most Famous Math Problem Similar videos 28:40 [09x01] How Much of Earth is Covered in Water? | Turing.jl | Julia Probabilistic Programming 1:54:09 Bayesian Statistics using Turing.jl and Julia Language 24:43 [08x11] What is Probabilistic Programming? 3:01:37 Introduction to Bayesian Data Analysis | Workshop | JuliaCon 2021 07:51 Genify.jl: Transforming Julia into Gen for Bayesian inference | Xuan (Tan Zhi Xuan) | JuliaCon2021 25:40 Open-Source Bayesian Hierarchical PBPK Modeling in Julia | Ahmed Elmokadem | JuliaCon 2023 35:36 Chapter 7 Distributed Computing with Julia 17:23 Interfacing SBML and CellML with the Scientific Machine Learning and COBRA Ecosystems in Julia 34:26 pre-DecisionCAMP-2020: NIM - An Adventure in Machine Learning 07:30 Using Virtual Environment in Julia with Playground.jl 52:21 CSS Recruiter Series: Logan on Julia Programming 1:05:45 ML seminar: Thomas Hamelryck: Deep probabilistic programming and the protein folding problem More results