MCMC methods for neural networks
Project description
![](https://github.com/papamarkou/eeyore/workflows/eeyore/badge.svg)
MCMC methods for neural networks.
eeyore can be installed via conda or via pip.
To install eeyore using conda, run ` conda install -c conda-forge eeyore `
To install eeyore using pip, run ` pip install eeyore `
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
eeyore-0.0.20.tar.gz
(27.8 kB
view details)
Built Distribution
eeyore-0.0.20-py3-none-any.whl
(52.3 kB
view details)
File details
Details for the file eeyore-0.0.20.tar.gz
.
File metadata
- Download URL: eeyore-0.0.20.tar.gz
- Upload date:
- Size: 27.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0597b1dc516bdf73e6ae6096f7c41d41bda6e514bac115abe485f35aad3d4b60 |
|
MD5 | efbfa8167140d52e41515a2056114aae |
|
BLAKE2b-256 | 81fd4fba352a26127b30d19a1c3820590ade4258353410eda13e32bddd617bdf |
File details
Details for the file eeyore-0.0.20-py3-none-any.whl
.
File metadata
- Download URL: eeyore-0.0.20-py3-none-any.whl
- Upload date:
- Size: 52.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7bde067a526e5f11c794d9202bad1710485ba0a9ac4c201b393aefc0011f252d |
|
MD5 | 299e8b151a36d4219e26ba9e4cc78198 |
|
BLAKE2b-256 | e3d0affd505a28a5e3b4b286e4c5423e872554e7116d7f7324263b8f331629c3 |