hpi-xnor/bitorch

BITorch: Open-Source Implementation of Binary Neural Networks with PyTorch

45
/ 100
Emerging

This library helps machine learning engineers or researchers build smaller, faster neural networks. It takes a standard PyTorch neural network model and converts it into a quantized or binary neural network. This allows for more efficient deployment on devices with limited computational resources, like edge devices or mobile phones.

Used by 1 other package. No commits in the last 6 months. Available on PyPI.

Use this if you are a machine learning engineer working with PyTorch and need to deploy models that are compact and performant on resource-constrained hardware.

Not ideal if you are looking for a plug-and-play solution with a large collection of pre-trained models, as this library is currently in early development.

deep-learning-optimization edge-ai model-quantization neural-network-compression on-device-inference
Stale 6m
Maintenance 0 / 25
Adoption 8 / 25
Maturity 25 / 25
Community 12 / 25

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Stars

38

Forks

5

Language

Python

License

GPL-3.0

Last pushed

Jun 13, 2024

Commits (30d)

0

Dependencies

4

Reverse dependents

1

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