Bayne - Bayesian Neural Networks
Pytorch/Pyro-based Bayesian Neural Networks library
Features:
- Markov Chain Monte Carlo (MCMC)
- Fully connected neural network with ReLU, Sigmoid, or Tanh activation
- Configurable prior & likelihood
- Hamiltonian Monte Carlo or NUTS sampler
Authors:
- Frederik Baymler Mathiesen, PhD student @ TU Delft, Netherlands
1 maintainer
Metadata
1 maintainer
Release files for bayne 0.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bayne-0.2.2.tar.gz | 16.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bayne-0.2.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 33.8 kB
Release files / bayne-0.2.2.tar.gz
| Download URL | bayne-0.2.2.tar.gz |
|---|---|
| Size | 16.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.8.12
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Release files / bayne-0.2.2-py3-none-any.whl
| Download URL | bayne-0.2.2-py3-none-any.whl |
|---|---|
| Size | 17.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.2 CPython/3.8.12
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