semvec/pypi-packages huggingface dataset:
ScreenX2 0.0.2
The Ultimate AI-Powered Web Automation & Scraping Bot
License: MIT
Requires Python: >=3.6

ScreenX - The Ultimate AI-Powered Web Automation & Scraping Bot
Overview

ScreenX is a powerful and flexible Python package designed for seamless web automation, intelligent navigation, and efficient web scraping. Whether you need to automate form submissions, interact with dynamic web pages, or extract valuable data from websites, ScreenX makes it effortless.

With built-in support for Selenium and BeautifulSoup, ScreenX can mimic human-like browsing behavior, handle user inputs, click buttons, fill forms, and navigate multiple pages with ease. It also includes smart delay mechanisms to avoid detection and bypass anti-bot measures.

Key features include headless browsing, session persistence, CAPTCHA handling support, and multi-threaded scraping for high-speed data extraction. The package is easy to integrate with AI-based decision-making models, making it ideal for automated research, price tracking, social media interactions, and much more.

ScreenX is the perfect companion for developers, researchers, and businesses looking to streamline their web automation tasks without writing complex scripts from scratch
ivcensor 0.4.0
IV with right censor data
License: MIT
Requires Python: >=3.8
Keywords: right censor data, neural network, instrumental variable, generalized emperical likelihood

# ivcensor

`ivcensor` implements G‐estimation methods for treatment effects under endogeneity, both with and without right‐censoring, using a variety of machine‐learning and classical estimators.

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## Features

- **Complete‐data G‐estimator** (`genius_noncensor`)  
- **Right‐censoring G‐estimator** (`genius_censor`)  
- Multiple model backends:
  - Neural networks
  - Linear regression
  - Random forests
  - XGBoost  
- Choice of Generalized Empirical Likelihood (GEL) functions:
  - Empirical Tilting (ET)
  - Empirical Likelihood (EL)
  - Continuous Updating Estimator (CUE)

---

## Installation

Install from PyPI:

```bash
pip install ivcensor



Dependencies
Make sure you have the following installed (the minimal compatible versions shown):
numpy>=1.19
torch>=1.8
scipy>=1.5
scikit-learn>=0.24
xgboost>=1.3
numba>=0.53
isoc-airbyte-transformations 0.1.0
A simple transformations utility package
License: MIT
Requires Python: >=3.6

# isoc_airbyte_transformations

**isoc_airbyte_transformations** is a simple Python package that provides transformations processing utilities.

## 📦 Installation

To install the package (after building):

```bash
pip install dist/isoc_airbyte_transformations-0.1.0-py3-none-any.whl