Projects with this topic
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TimageTK (Tissue Image Toolkit) is a Python package dedicated to image processing of multicellular architectures, such as plants or animals. It is intended for biologists, modellers and computer scientists.
The library offers an array of tools for image enhancement, transformation, and feature extraction. From mathematical morphology to filtering algorithms and peak detection, they refine image data and assist in critical processing workflows for various analysis needs.
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Shallow Water Equation Environment for Tests, Awesome!
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naw logs machine-learning time-series metrics via a wandb-compatible API to a compressed file on disk, and provides a CLI to read time series back.
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Generation of a sphinx documentation in the pages of a small python application.
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Static and Dynamic Optimal Control of Vitamin-Mediated Algal-Bacterial Co-Cultures under Optogenetic Regulation
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Python code for the Reciprocal Amacrine Model.
V1.1
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GPU-accelerated Monte Carlo uncertainty quantification for SVBRDF measurements on the La Coupole setup. Companion code to the associated Optics Express paper and dataset.
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A framework for exploring the depths of hyperparameter space with Hydra and MLflow.
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Based on : Projet d'initiation à la recherche - INSA Lyon - Flocking 2024
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A series of Jupyter notebooks and exported slides that serve as an introduction and tutorial for Hydronaut.
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Discrete Exterior Calculus library in Python mostly targeted toward multicellular tissue modeling.
documentation: https://oali.gitlabpages.inria.fr/dxtr/
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Example of a simple CI workflow under windows server 2022 using Visual Studio 2022, cmake, nanobind, scikit-build-core with a Windows Docker image
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jax-cdl implements Low-Rank Time–Frequency Synthesis and Multivariate Convolutional Sparse Coding using jax.
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An OpenAI Gym crop management environment for Reinforcement Learning (RL), based on the Decision Support System for Agrotechnology Transfer (DSSAT) crop model.
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Python bindings for graph2svg rust library.
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