| Name | Version | Summary | date |
| cfour-parser |
0.0.2 |
Parser of the CFOUR output. |
2024-08-26 21:58:44 |
| swehockey-scraper |
1.4 |
Functions to scrape ice hockey data and statistics from swehockey |
2024-08-26 21:55:10 |
| check-pyproject |
0.1.0 |
This tool facilitates syncing of the project and the tool.poetry tables in your pyproject.toml. |
2024-08-26 21:50:14 |
| kasperskytip |
1.0 |
Kaspersky TIP unofficial API for Python |
2024-08-26 21:36:41 |
| minijinja |
2.2.0 |
An experimental Python binding of the Rust MiniJinja template engine. |
2024-08-26 21:36:17 |
| autotuneml |
0.4.6 |
A package for automated machine learning on tabular data |
2024-08-26 21:24:54 |
| datacleanml |
0.2.1 |
A package for cleaning tabular data in preparation for machine learning |
2024-08-26 21:19:39 |
| sumo-pts |
0.2 |
A Python interface for simulating public transport systems using SUMO. |
2024-08-26 20:49:49 |
| QuantileRegression |
0.1.4 |
QuantileRegression package based on SciPy optimization routines. |
2024-08-26 20:49:44 |
| resume-feature-extractor |
0.1 |
A library to extract features from resumes |
2024-08-26 20:43:28 |
| MLEssentials |
1.1 |
A toolkit to install essential machine learning libraries with one command. |
2024-08-26 20:41:27 |
| clarityio |
0.3.0 |
Retrieve air quality data from the Clarity.io API |
2024-08-26 20:17:52 |
| TDTNex |
0.4.1 |
To add OfflineSorter codes to TDT blocks |
2024-08-26 20:06:28 |
| forfiles |
4.1.1 |
Useful tools for files |
2024-08-26 19:58:43 |
| abgpt |
0.1.2 |
AbGPT: De Novo B-Cell Receptor Design via Generative Language Modeling |
2024-08-26 19:47:12 |
| viavai |
0.1.4 |
A sample Python library called Viavai |
2024-08-26 19:45:05 |
| pandastic |
0.0.2 |
A command line tool for manipulating PanDA tasks and rucio datasets |
2024-08-26 19:35:58 |
| IR3 |
3.0.0 |
Finding the activity value and designing enzyme for input substrate |
2024-08-26 19:29:37 |
| SimpleNERtagger-ES |
0.23 |
This is an on-development NER-tagger in spanish. Regardless other NER-taggers in the market/wilds/Huggingface, this one will include non-common tags. Also, it will work with three kind of methods at the same time: deterministic and based on regular expressions (v0.1), transformer-based fine-tunned over preexisting data (v0.2) and LLM-prompt-based leveraging few-shot learning techniques (v0.3). |
2024-08-26 19:28:47 |
| bibliography |
0.0.1 |
Stub files to use as the basis of a Python project that can be packaged and uploaded to PyPI |
2024-08-26 18:53:18 |