Simulation-based parameter inference library
Project description
scisbi - Scientific Machine Learning package for Simulation Based Inference
A personal project with multiple aims:
- Creating final project for my PhD course TTSSE (Techniques and Technologies for Scientific Software Engeneering) in Uppsala University
- Rewriting codes for existing simulation based inference methods and frameworks around them for gaining knowledge about current SOTA methods for further research
- Gaining experience in creating, developing and at least shortly maintaining OSS
Notes
Documentation
Other better maintained python packages might be more suitable for personal, research or applied uage, such as
This project is using the following packages:
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
scisbi-0.0.1.tar.gz
(39.2 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
scisbi-0.0.1-py3-none-any.whl
(50.9 kB
view details)
File details
Details for the file scisbi-0.0.1.tar.gz.
File metadata
- Download URL: scisbi-0.0.1.tar.gz
- Upload date:
- Size: 39.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
334d613b16f458fbec097a8750f953efdeb93e6a0f07ebf509e912084d462686
|
|
| MD5 |
6dec390d59cc922adbbcbfe4f28dcfc4
|
|
| BLAKE2b-256 |
cede84bbf117b484ac8ea60833d9e0aea4cb81473ef4f243c399ee4b0a9205ac
|
File details
Details for the file scisbi-0.0.1-py3-none-any.whl.
File metadata
- Download URL: scisbi-0.0.1-py3-none-any.whl
- Upload date:
- Size: 50.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
722e8080519d5747804fd55031787176974102b874a7c991ac6f41f54ad12158
|
|
| MD5 |
f57541509c4e6878801097ba1e182f4c
|
|
| BLAKE2b-256 |
c96e6f057bf17f852278718536a5de696a01e63a7cfe6db97ef0a5df7a9bd793
|