BrightSec / shainet
SHAInet - a pure Crystal machine learning library
Why this job: says: machine learning library; topics: neural-network, deep-learning, machine-learning
What it does
- CPU and GPU (CUDA) support
- Multiple layer types and activation functions
- Various training algorithms (SGD, Adam, iRprop+, etc.)
- Streaming data support for large datasets
- HuggingFace model import via SafeTensors (no Python required)
Get started
./build_cuda_kernels.sh - Maintenance
- Active
- Last commit today
- Stars
- 198
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v3.0.2
- Released 10 months ago
- Built with
- Crystal
- 73% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 180 merged
- 0 waiting
- Releases
- 19
- 1 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
- Crystal 73%
- Cuda 19%
- C 7%
- Shell <1%
Topics
- neural-network
- machine-learning
- deep-learning
- deep-neural-networks
- crystal
- convolutional-neural-networks
Project record
- JobAI libraries and models
- StatusListed
- Commits488
- Forks21
- Watching22
- Stars in 28 days0
- CreatedDec 6, 2017
- First seen by usNov 7, 2026
- CheckedNov 12, 2026