pyABC is a tool for distributed likelihood-free inference using Approximate Bayesian Computation.
What's the difference between this project and similar ones?
It provides a state-of-the-art implementation of ABC-SMC with a few unique algorithms, such as population size adaptation, measurement noise quantification, and automatic distance learning.
It allows to exploit HPC infrastructure, thus scaling to computationally complex problems.
It has a very easy-to-use interface and is used by researchers in many areas.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.
## 📋 Pull Request Information
**Original PR:** https://github.com/vinta/awesome-python/pull/1747
**Author:** [@starboerg](https://github.com/starboerg)
**Created:** 3/29/2021
**Status:** ❌ Closed
**Base:** `master` ← **Head:** `master`
---
### 📝 Commits (1)
- [`32df169`](https://github.com/vinta/awesome-python/commit/32df169f81b0b498d2c17703db3fb515673c83e6) Add pyABC
### 📊 Changes
**1 file changed** (+1 additions, -0 deletions)
<details>
<summary>View changed files</summary>
📝 `README.md` (+1 -0)
</details>
### 📄 Description
# What is this Python project?
[pyABC](https://github.com/icb-dcm/pyabc) is a tool for distributed likelihood-free inference using Approximate Bayesian Computation.
# What's the difference between this project and similar ones?
* It provides a state-of-the-art implementation of ABC-SMC with a few unique algorithms, such as population size adaptation, measurement noise quantification, and automatic distance learning.
* It allows to exploit HPC infrastructure, thus scaling to computationally complex problems.
* It has a very easy-to-use interface and is used by researchers in many areas.
---
<sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
Blocking a user prevents them from interacting with repositories, such as opening or commenting on pull requests or issues. Learn more about blocking a user.
📋 Pull Request Information
Original PR: https://github.com/vinta/awesome-python/pull/1747
Author: @starboerg
Created: 3/29/2021
Status: ❌ Closed
Base:
master← Head:master📝 Commits (1)
32df169Add pyABC📊 Changes
1 file changed (+1 additions, -0 deletions)
View changed files
📝
README.md(+1 -0)📄 Description
What is this Python project?
pyABC is a tool for distributed likelihood-free inference using Approximate Bayesian Computation.
What's the difference between this project and similar ones?
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.