# \#v0-7-x

**URL:** https://si-tesseract.discourse.group/tag/v0-7-x/12.md

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## [Building and Pushing Tesseracts with Github Actions and Deploying them on Amazon ECS](https://si-tesseract.discourse.group/t/building-and-pushing-tesseracts-with-github-actions-and-deploying-them-on-amazon-ecs/91)

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**Author:** [@archis](https://si-tesseract.discourse.group/u/archis)\
**Replies:** 0\
**Last updated:** [April 29, 2025, 2:33pm UTC](https://si-tesseract.discourse.group/t/building-and-pushing-tesseracts-with-github-actions-and-deploying-them-on-amazon-ecs/91 "2025-04-29T14:33:41Z")

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Purpose This writeup describes how to build Tesseracts with Github Actions push them to Amazon Elastic Container Registry and deploy them to Amazon Elastic Container Service This document assumes you have some knowled…

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## [Thomson scattering diagnostic parameter optimization](https://si-tesseract.discourse.group/t/thomson-scattering-diagnostic-parameter-optimization/45)

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**Author:** [@andrinr](https://si-tesseract.discourse.group/u/andrinr)\
**Replies:** 1\
**Last updated:** [April 29, 2025, 2:39pm UTC](https://si-tesseract.discourse.group/t/thomson-scattering-diagnostic-parameter-optimization/45 "2025-04-29T14:39:24Z")

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Thomson scattering diagnostic parameter optimization Background The Thomson Scattering diagnostic is used to infer plasma conditions in fusion-relevant experiments at LLE, ZAP Energy, among others. It is a model-based di…

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## [Installing local dependencies into a Tesseract](https://si-tesseract.discourse.group/t/installing-local-dependencies-into-a-tesseract/50)

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**Author:** [@Alessandro](https://si-tesseract.discourse.group/u/Alessandro)\
**Replies:** 0\
**Last updated:** [February 26, 2025, 2:36pm UTC](https://si-tesseract.discourse.group/t/installing-local-dependencies-into-a-tesseract/50 "2025-02-26T14:36:27Z")

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Installing local dependencies into a Tesseract Context Sometimes it might be necessary to bundle local dependencies into a Tesseract; this can be done by simply adding their path to the tesseract\_requirements.txt file. …

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## [PyTorch-based Rosenbrock function minimization](https://si-tesseract.discourse.group/t/pytorch-based-rosenbrock-function-minimization/44)

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**Author:** [@matteo.salvador](https://si-tesseract.discourse.group/u/matteo.salvador)\
**Replies:** 0\
**Last updated:** [February 26, 2025, 1:24pm UTC](https://si-tesseract.discourse.group/t/pytorch-based-rosenbrock-function-minimization/44 "2025-02-26T13:24:32Z")

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Overview This example explains how to implement a PyTorch-based Tesseract for the Rosenbrock function and use it in an optimization loop to find the global minima starting from a random initial guess. This Tesseract pro…

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## [Out-of-core dataloading](https://si-tesseract.discourse.group/t/out-of-core-dataloading/52)

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**Author:** [@Niklas](https://si-tesseract.discourse.group/u/Niklas)\
**Replies:** 2\
**Last updated:** [March 7, 2025, 3:12pm UTC](https://si-tesseract.discourse.group/t/out-of-core-dataloading/52 "2025-03-07T15:12:26Z")

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Out-of-core dataloading This example demonstrates how to create a Tesseract that can ingest large datasets without loading the whole dataset to memory. :rocket: For many more examples, see the examples/ directory in th…

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## [JAX Auto-diff templates: Gaussian radial basis function fitting](https://si-tesseract.discourse.group/t/jax-auto-diff-templates-gaussian-radial-basis-function-fitting/51)

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**Author:** [@JonathanBrodrick](https://si-tesseract.discourse.group/u/JonathanBrodrick)\
**Replies:** 0\
**Last updated:** [February 26, 2025, 2:44pm UTC](https://si-tesseract.discourse.group/t/jax-auto-diff-templates-gaussian-radial-basis-function-fitting/51 "2025-02-26T14:44:06Z")

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Tesseract “recipes” provide ready-to-go templates that simplify the writing of API files and automate the generation of auto-diff endpoints using powerful third party frameworks such as JAX. This example demonstrates how…

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## [JAX-based Rosenbrock function minimization](https://si-tesseract.discourse.group/t/jax-based-rosenbrock-function-minimization/48)

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**Author:** [@Niklas](https://si-tesseract.discourse.group/u/Niklas)\
**Replies:** 0\
**Last updated:** [February 26, 2025, 2:11pm UTC](https://si-tesseract.discourse.group/t/jax-based-rosenbrock-function-minimization/48 "2025-02-26T14:11:33Z")

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This example demonstrates how to: Create a Tesseract that wraps the Rosenbrock function, a non-convex function that is commonly used to test optimization algorithms. Use the tesseract with Scipy’s minimize routine …

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## [Neural network training with Julia](https://si-tesseract.discourse.group/t/neural-network-training-with-julia/47)

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**Author:** [@matteo.salvador](https://si-tesseract.discourse.group/u/matteo.salvador)\
**Replies:** 0\
**Last updated:** [February 26, 2025, 1:59pm UTC](https://si-tesseract.discourse.group/t/neural-network-training-with-julia/47 "2025-02-26T13:59:09Z")

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Introduction This example demonstrates how to integrate a Julia-based Multi-Layer Perceptron (MLP) training pipeline with the Tesseract framework. The whole Tesseract can be downloaded here: julia\_mlp.zip (335.5 KB) Re…
