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https://github.com/bonsai-rx/machinelearning

Bonsai Library containing reactive infrastructure for machine learning

https://github.com/bonsai-rx/machinelearning

Science Score: 26.0%

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    Low similarity (10.9%) to scientific vocabulary

Keywords

bonsai-rx machine-learning
Last synced: 10 months ago · JSON representation

Repository

Bonsai Library containing reactive infrastructure for machine learning

Basic Info
Statistics
  • Stars: 6
  • Watchers: 2
  • Forks: 5
  • Open Issues: 11
  • Releases: 6
Topics
bonsai-rx machine-learning
Created over 2 years ago · Last pushed 12 months ago
Metadata Files
Readme License Authors

docs/README.md

Bonsai - Machine Learning

The Bonsai.ML project is a collection of packages designed to integrate machine learning algorithms with Bonsai. This document provides an overview of the available packages and their functionalities.

Core Packages

  • Bonsai.ML Provides common tools and functionality.

  • Bonsai.ML.Design Provides common tools and functionality for visualizers and editor features.

  • Bonsai.ML.Data Provides common tools and functionality for working with data.

  • Bonsai.ML.Python Provides common tools and functionality for C# packages to interface with Python.

Available Packages

Bonsai.ML.LinearDynamicalSystems

Facilitates inference using linear dynamical systems (LDS). It interfaces with the lds_python package using the Bonsai - Python Scripting library.

  • Bonsai.ML.LinearDynamicalSystems.Kinematics Supports the use of the Kalman Filter for inferring kinematic data.

  • Bonsai.ML.LinearDynamicalSystems.LinearRegression Utilizes the Kalman Filter to perform online Bayesian linear regression.

Bonsai.ML.LinearDynamicalSystems.Design

Visualizers and editor features for the LinearDynamicalSystems package.

Bonsai.ML.HiddenMarkovModels

Facilitates inference using Hidden Markov Models (HMMs). It interfaces with the ssm package using the Bonsai - Python Scripting library.

  • Bonsai.ML.HiddenMarkovModels.Observations Provides functionality for specifying different types of observations.

  • Bonsai.ML.HiddenMarkovModels.Transitions Provides functionality for specifying different types of transition models.

Bonsai.ML.HiddenMarkovModels.Design

Visualizers and editor features for the HiddenMarkovModels package.

Bonsai.ML.PointProcessDecoder

Interfaces with the PointProcessDecoder package which can be used for decoding neural activity and other point processes.

Bonsai.ML.Torch

Interfaces with the TorchSharp package, a C# wrapper around the torch library. Provides tooling for manipulating tensors, performing linear algebra, training and inference with deep neural networks, and more.

[!NOTE] Bonsai.ML packages can be installed through Bonsai's integrated package manager and are generally ready for immediate use. However, some packages may require additional installation steps. Refer to the specific package section for detailed installation guides and documentation.

Development Roadmap

The ultimate goal of the Bonsai.ML project is to bring powerful machine learning tools into Bonsai to enable intelligent experimental control. To achieve this, our plan is to incorporate several different packages, models, frameworks, and language integrations. You can follow our progress by going to the Bonsai ML development roadmap.

Feedback and Contributions

Bonsai.ML is an open-source project and we welcome contributions and feedback from the community. If you have any comments or questions, or require assistance, please feel free to open an issue on the GitHub repo. If you would like to contribute to the project, please see our Contributor Guide. By contributing to our project, we also expect you to uphold our community Code of Conduct.

Acknowledgments

Development of the Bonsai.ML package is supported by the Biotechnology and Biological Sciences Research Council [grant number BB/W019132/1].

Owner

  • Name: Bonsai
  • Login: bonsai-rx
  • Kind: organization

A visual language for reactive programming

GitHub Events

Total
  • Issues event: 18
  • Watch event: 3
  • Delete event: 10
  • Issue comment event: 22
  • Push event: 64
  • Pull request review comment event: 93
  • Pull request review event: 72
  • Pull request event: 33
  • Fork event: 2
  • Create event: 7
Last Year
  • Issues event: 18
  • Watch event: 3
  • Delete event: 10
  • Issue comment event: 22
  • Push event: 64
  • Pull request review comment event: 93
  • Pull request review event: 72
  • Pull request event: 33
  • Fork event: 2
  • Create event: 7

Committers

Last synced: 12 months ago

All Time
  • Total Commits: 695
  • Total Committers: 3
  • Avg Commits per committer: 231.667
  • Development Distribution Score (DDS): 0.081
Past Year
  • Commits: 368
  • Committers: 3
  • Avg Commits per committer: 122.667
  • Development Distribution Score (DDS): 0.038
Top Committers
Name Email Commits
ncguilbeault n****t@g****m 639
glopesdev g****v 48
David Maas d****t@n****g 8
Committer Domains (Top 20 + Academic)
neurogears.org: 1

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 7
  • Total pull requests: 20
  • Average time to close issues: 2 months
  • Average time to close pull requests: about 1 month
  • Total issue authors: 4
  • Total pull request authors: 3
  • Average comments per issue: 0.43
  • Average comments per pull request: 0.2
  • Merged pull requests: 11
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 7
  • Pull requests: 20
  • Average time to close issues: 2 months
  • Average time to close pull requests: about 1 month
  • Issue authors: 4
  • Pull request authors: 3
  • Average comments per issue: 0.43
  • Average comments per pull request: 0.2
  • Merged pull requests: 11
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • ncguilbeault (11)
  • glopesdev (2)
  • PathogenDavid (1)
  • banchan86 (1)
  • robustcircuit (1)
Pull Request Authors
  • ncguilbeault (29)
  • glopesdev (11)
  • PathogenDavid (4)
Top Labels
Issue Labels
proposal (1) documentation (1)
Pull Request Labels
feature (13) fix (6) documentation (5) proposal (1)

Packages

  • Total packages: 13
  • Total downloads:
    • nuget 8,454 total
  • Total dependent packages: 1
    (may contain duplicates)
  • Total dependent repositories: 0
    (may contain duplicates)
  • Total versions: 44
  • Total maintainers: 1
nuget.org: bonsai.ml.lineardynamicalsystems

A Bonsai package for implementing the Kalman Filter using python.

  • Versions: 6
  • Dependent Packages: 1
  • Dependent Repositories: 0
  • Downloads: 1,323 Total
Rankings
Dependent repos count: 7.9%
Dependent packages count: 10.0%
Average: 25.0%
Downloads: 57.1%
Maintainers (1)
bonsai
Last synced: 10 months ago
nuget.org: bonsai.ml.visualizers

A package for the Bonsai visual programming language.

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent repos count: 7.9%
Dependent packages count: 10.0%
Average: 25.0%
Downloads: 57.1%
Maintainers (1)
bonsai
Last synced: 10 months ago
nuget.org: bonsai.ml.pointprocessdecoder

A Bonsai package for running a neural decoder based on point processes using Bayesian state-space models.

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 317 Total
Rankings
Dependent repos count: 6.8%
Dependent packages count: 18.2%
Average: 27.2%
Downloads: 56.6%
Maintainers (1)
bonsai
Last synced: 10 months ago
nuget.org: bonsai.ml.pointprocessdecoder.design

A package for visualizing data from the Bonsai.ML.PointProcessDecoder package.

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 314 Total
Rankings
Dependent repos count: 6.8%
Dependent packages count: 18.2%
Average: 27.2%
Downloads: 56.6%
Maintainers (1)
bonsai
Last synced: 10 months ago
nuget.org: bonsai.ml.torch-cpu

A Bonsai package for TorchSharp tensor manipulations. This package combines the Bonsai.ML.Torch package with LibTorch 2.5.1 CPU support.

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 357 Total
Rankings
Dependent repos count: 6.8%
Dependent packages count: 18.2%
Average: 27.2%
Downloads: 56.6%
Maintainers (1)
bonsai
Last synced: 10 months ago
nuget.org: bonsai.ml.torch

A Bonsai package for TorchSharp tensor manipulations.

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 406 Total
Rankings
Dependent repos count: 6.8%
Dependent packages count: 18.2%
Average: 27.2%
Downloads: 56.6%
Maintainers (1)
bonsai
Last synced: 10 months ago
nuget.org: bonsai.ml.hiddenmarkovmodels.design

A package for visualizing data from the Bonsai.ML.HiddenMarkovModels package.

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 688 Total
Rankings
Dependent repos count: 7.5%
Dependent packages count: 20.0%
Average: 28.3%
Downloads: 57.5%
Maintainers (1)
bonsai
Last synced: 10 months ago
nuget.org: bonsai.ml.hiddenmarkovmodels

A Bonsai package for hidden markov models. Interfaces with the SSM python package using the Bonsai.Scripting.Python package.

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 714 Total
Rankings
Dependent repos count: 7.5%
Dependent packages count: 20.0%
Average: 28.3%
Downloads: 57.5%
Maintainers (1)
bonsai
Last synced: 10 months ago
nuget.org: bonsai.ml

Bonsai Library containing reactive infrastructure for machine learning.

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 1,092 Total
Rankings
Dependent repos count: 7.5%
Dependent packages count: 20.0%
Average: 28.3%
Downloads: 57.5%
Maintainers (1)
bonsai
Last synced: 10 months ago
nuget.org: bonsai.ml.design

A package for the Bonsai visual programming language.

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 685 Total
Rankings
Dependent repos count: 7.5%
Dependent packages count: 20.0%
Average: 28.3%
Downloads: 57.5%
Maintainers (1)
bonsai
Last synced: 10 months ago
nuget.org: bonsai.ml.data

Provides common tools and functionality for working with ML data.

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 1,004 Total
Rankings
Dependent repos count: 7.5%
Dependent packages count: 20.0%
Average: 28.3%
Downloads: 57.5%
Maintainers (1)
bonsai
Last synced: 10 months ago
nuget.org: bonsai.ml.lineardynamicalsystems.design

A package for visualizing data from the Bonsai.ML.LinearDynamicalSystems package.

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 668 Total
Rankings
Dependent repos count: 7.5%
Dependent packages count: 20.0%
Average: 28.3%
Downloads: 57.5%
Maintainers (1)
bonsai
Last synced: 10 months ago
nuget.org: bonsai.ml.python

Bonsai Library containing python integration functions for machine learning.

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 886 Total
Rankings
Dependent repos count: 7.5%
Dependent packages count: 20.0%
Average: 28.3%
Downloads: 57.5%
Maintainers (1)
bonsai
Last synced: 10 months ago

Dependencies

src/Bonsai.ML/Bonsai.ML.csproj nuget
  • Bonsai.Core 2.8.0