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Contributing to Traja | ||
===================== | ||
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Traja is a research library. Functionality must therefore be both | ||
cutting-edge and reliable. Traja is part of a wider project to | ||
increase collaboration in research, through the adoption of | ||
open-source contribution models. It is our hope that traja | ||
remains accessible to researchers and help them do higher-quality | ||
research. | ||
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Current status | ||
-------------- | ||
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Traja is currently undergoing active development with approximately | ||
60 % of features present. Significant interface changes are still | ||
possible, however we avoid these unless absolutely necessary. | ||
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The work is currently focussed on reaching version 1.0 with feature | ||
completeness and 95 % test coverage. | ||
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The following features are required for feature completeness: | ||
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* Latent space visualisers | ||
* Eigenspace-based | ||
* Colour-coded to visualise evolution over time | ||
* Delay coordinate embeddings | ||
* State-space visualisers | ||
* Additional encoder and decoder options in AE and VAE models | ||
* MLP | ||
* 1d convolution | ||
* Pituitary gland example dataset | ||
* Regression output visualisers | ||
* VAE GAN models | ||
* Additional VAE latent-space shapes | ||
* Uniform | ||
* A shape that works for periodic trajectories (Torus?) | ||
* Delay coordinate embeddings | ||
* Persistent homology diagrams of the embeddings | ||
* Automatic code formatter | ||
* Tutorials | ||
* Find time of day based on activity | ||
* `Recover parameters from Pituitary ODE <https://colab.research.google.com/drive/1Fc8Z6LtjMBk20QPPzJt8uDAxWu5dz_1Y?usp=sharing>`_ | ||
* `Predict stock prices with LSTMs <https://colab.research.google.com/drive/1TAW9Lv0Sm9g8YRgYXaiHIZBqnGtGQn1H?usp=sharing>`_ | ||
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How to contribute | ||
----------------- | ||
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Traja welcomes contributions! To get started, pick up any issue | ||
labeled with `good first issue`! Alternatively you can read some | ||
background material or try a tutorial. | ||
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Testing and code quality | ||
------------------------ | ||
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Since Traja is a library, we strive for sensible tests achieving a | ||
high level of code coverage. Future commits are required to maintain | ||
or improve code quality, test coverage. To aid in this, Travis runs | ||
automated tests on each pull request. Additionally, we run codecov | ||
on PRs. | ||
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Background material | ||
------------------- | ||
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This is a collection of papers and resources that explain the | ||
main problems we are working on with Traja. | ||
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Analysis of mice that have suffered a stroke: | ||
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@article{10.3389/fnins.2020.00518, | ||
author={Justin Shenk and | ||
Klara J. Lohkamp and | ||
Maximilian Wiesmann and | ||
Amanda J. Kiliaan}, | ||
title={Automated Analysis of Stroke Mouse Trajectory Data With Traja}, | ||
journal={Frontiers in Neuroscience}, | ||
volume={14}, | ||
pages={518}, | ||
year={2020}, | ||
url={https://www.frontiersin.org/article/10.3389/fnins.2020.00518}, | ||
doi={10.3389/fnins.2020.00518}, | ||
issn={1662-453X}, | ||
} | ||
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Understanding the parameter space of the pituitary gland ODE (https://www.math.fsu.edu/~bertram/papers/bursting/JCNS_16.pdf): | ||
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@article{10.1007/s10827-016-0600-1, | ||
author = {Fletcher, Patrick and Bertram, Richard and Tabak, Joel}, | ||
title = {From Global to Local: Exploring the Relationship between Parameters and Behaviors in Models of Electrical Excitability}, | ||
year = {2016}, | ||
publisher = {Springer-Verlag}, | ||
address = {Berlin, Heidelberg}, | ||
volume = {40}, | ||
number = {3}, | ||
issn = {0929-5313}, | ||
url = {https://doi.org/10.1007/s10827-016-0600-1}, | ||
doi = {10.1007/s10827-016-0600-1}, | ||
journal = {J. Comput. Neurosci.}, | ||
month = June, | ||
pages = {331–345}, | ||
} | ||
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Style guide | ||
----------- | ||
TODO |