Added several interesting projects related to data analysis and machine learning, which I used or tested lately and which were missing from the list (remove them if them exist in late contributions, or move to other sections, if necessary):
Seaborn - data visualization library;
Keras - deep learning library for ANN;
RapydTk - Tk GUI builder tool. Haven't used it, but there aren't many similar tools, so I included it
bcolz - a young project but interesting for big data in-memory storage and analysis
paratext - a library for reading text files over multiple cores
caravel - AirBnB's data exploration platform written in Python
brew - ensemble learning methods in Python
FukuML- simple machine learning library, with focus on kernel methods
jubakit - Python bindings for a Jubatus distributed online machine learning framework
XGBoost - implementation of scalable, portable and distributed gradient boosting algorithm; considering its relevance, just ask any Kaggler :)
PyGMO - evolutionary computing for Python (might be moved to scientific computing section as well)
🔄 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/728
**Author:** [@paudan](https://github.com/paudan)
**Created:** 9/19/2016
**Status:** ❌ Closed
**Base:** `master` ← **Head:** `master`
---
### 📝 Commits (5)
- [`ffa1fd6`](https://github.com/vinta/awesome-python/commit/ffa1fd6fba6414dedab070e9453c114cd2542217) Update README.md
- [`03fad78`](https://github.com/vinta/awesome-python/commit/03fad785acce301fb541d42f4d7345cce9d6ff06) Update README.md
- [`9bbbb6c`](https://github.com/vinta/awesome-python/commit/9bbbb6c1e98af8aef26354f284d415a7a462bdb0) Update README.md
- [`8545883`](https://github.com/vinta/awesome-python/commit/854588389a52377393e1deef7dce6c9195b670e3) Update README.md
- [`df075fe`](https://github.com/vinta/awesome-python/commit/df075fe8f3944d1d3ed6893aaf4ff053bb608b20) Update README.md
### 📊 Changes
**1 file changed** (+16 additions, -0 deletions)
<details>
<summary>View changed files</summary>
📝 `README.md` (+16 -0)
</details>
### 📄 Description
Added several interesting projects related to data analysis and machine learning, which I used or tested lately and which were missing from the list (remove them if them exist in late contributions, or move to other sections, if necessary):
Seaborn - data visualization library;
Keras - deep learning library for ANN;
RapydTk - Tk GUI builder tool. Haven't used it, but there aren't many similar tools, so I included it
bcolz - a young project but interesting for big data in-memory storage and analysis
paratext - a library for reading text files over multiple cores
caravel - AirBnB's data exploration platform written in Python
brew - ensemble learning methods in Python
FukuML- simple machine learning library, with focus on kernel methods
jubakit - Python bindings for a Jubatus distributed online machine learning framework
XGBoost - implementation of scalable, portable and distributed gradient boosting algorithm; considering its relevance, just ask any Kaggler :)
PyGMO - evolutionary computing for Python (might be moved to scientific computing section as well)
---
<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/728
Author: @paudan
Created: 9/19/2016
Status: ❌ Closed
Base:
master← Head:master📝 Commits (5)
ffa1fd6Update README.md03fad78Update README.md9bbbb6cUpdate README.md8545883Update README.mddf075feUpdate README.md📊 Changes
1 file changed (+16 additions, -0 deletions)
View changed files
📝
README.md(+16 -0)📄 Description
Added several interesting projects related to data analysis and machine learning, which I used or tested lately and which were missing from the list (remove them if them exist in late contributions, or move to other sections, if necessary):
Seaborn - data visualization library;
Keras - deep learning library for ANN;
RapydTk - Tk GUI builder tool. Haven't used it, but there aren't many similar tools, so I included it
bcolz - a young project but interesting for big data in-memory storage and analysis
paratext - a library for reading text files over multiple cores
caravel - AirBnB's data exploration platform written in Python
brew - ensemble learning methods in Python
FukuML- simple machine learning library, with focus on kernel methods
jubakit - Python bindings for a Jubatus distributed online machine learning framework
XGBoost - implementation of scalable, portable and distributed gradient boosting algorithm; considering its relevance, just ask any Kaggler :)
PyGMO - evolutionary computing for Python (might be moved to scientific computing section as well)
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.