jdermody / brightwire
Bright Wire is an open source machine learning library for .NET with GPU support (via CUDA)
Why this job: says: machine learning library; topics: neural-network, machine-learning-library, machine-learning
What it does
- Feed Forward, Convolutional, Bidirectional and Sequence to Sequence (seq2seq) network architectures
- LSTM, GRU, Simple, Elman and Jordan recurrent neural networks
- L2, Dropout and DropConnect regularisation
- Relu, LeakyRelu, Sigmoid, Tanh and SoftMax activation functions
- Gaussian, Xavier and Identity weight initialisation
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 6 days ago
- Stars
- 129
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 4.0.0
- Released 2 years ago
- Built with
- C#
- 99% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 86% closed
- 6 still open
- Pull requests
- 4 merged
- 0 waiting
- Releases
- 23
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- C# 99%
- Cuda 1%
- Batchfile <1%
Topics
- convolutional-neural-networks
- csharp
- cuda
- cuda-support
- gpu
- gpu-support
- machine-learning
- machine-learning-library
- machinelearning
- neural-network
- recurrent-neural-networks
Project record
- JobAI libraries and models
- StatusListed
- Commits1,002
- Forks19
- Watching22
- Stars in 28 days+1
- CreatedMay 17, 2016
- First seen by usNov 7, 2026
- CheckedNov 8, 2026