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All Posts tagged “machine learning”
ML101 – pt. 11: Building the Inference Setup
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ML101 – pt. 10: Reducing our Data – Encoding, Exporting and Training our Data-Set
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ML101 – pt. 09: Reducing our Data – the PCA Node
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ML101 – pt. 08: Pose Prep 01 – Extracting Differences
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ML101 – pt. 07: Section Overview and Pose Generation
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ML101 – pt. 06: Finishing our Neural Net
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ML101 – pt. 05: Adding Tensorboard
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ML101 – pt. 04: From Python back to Houdini
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ML101 – pt. 03: Transferring training data from Houdini to Python
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ML101 – pt. 01: DIY Neural Net & Regression Basics
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ML101 – pt. 00: Introduction
This course is about making Machine Learning the next tool in your Houdini toolbox. Just like some problems are best solved with vector maths or Vex or Python, some problems get way easier with ML and we want to be able to spot these problems […]
Volume Style Transfer With ONNX
In an earlier episode we took a first look at the new ONNX inference node, a node that allows us to use trained neural nets inside Houdini. And today we want to use this node for something usefull – Volume Style Transfer! We want to […]
Machine Learning with ONNX in Houdini 20
With Houdini 20 we got our first official machine learning node from SideFX. While we previously had example scene files that did machine learing related stuff or plugins like mlops, this is the first machine learning tool that you get just by installing Houdini. So […]
Advanced Setups – pt.28: PyTorch Series 2b – Battle of the Latent Spaces
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Advanced Setups – pt.27: PyTorch Series 2a – Upgrading the Autoencoder
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Building a Latent Space in Houdini: Part 2 – Implementation
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Building a Latent Space in Houdini: Part 1 – Theory
This week we want to give you a lot more insight into what a latent space actually is and how it gets created. In this case not by using Stable Diffusion, but by building and training our own neural net inside Houdini, who’s only job […]
PDG 101 – Pt.17: Sloppy Machine Learning
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