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whw199833 authored Nov 29, 2023
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[![Python Versions](https://img.shields.io/pypi/pyversions/gbiz_torch.svg)](https://pypi.org/project/gbiz_torch)
[![TensorFlow Versions](https://img.shields.io/badge/PyTorch-1.12+-blue.svg)](https://pypi.org/project/gbiz_torch)
[![Downloads](https://pepy.tech/badge/gbiz_torch)](https://pepy.tech/project/gbiz_torch)
[![PyPI Version](https://img.shields.io/pypi/v/deepctr.svg)](https://pypi.org/project/gbiz_torch)
[![GitHub Issues](https://img.shields.io/github/issues/whw199833/gbiz_torch.svg
)](https://github.com/whw199833/gbiz_torch/issues)
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[![License](https://img.shields.io/github/license/whw199833/gbiz_torch.svg)](https://github.com/whw199833/gbiz_torch/blob/master/LICENSE)

## Introduction to gbiz_torch

A comprehensive toolkit designed to help you accurately predict key metrics such as Click-Through Rates (CTR), Conversion Rates (CVR), uplift, and pricing strategies. Built with state-of-the-art algorithms and user-friendly interfaces, our package streamlines the process of forecasting and decision-making, allowing you to make data-driven choices with confidence. Whether you're looking to optimize your marketing campaigns, boost sales conversions, or fine-tune your pricing model, our package provides the insights you need to succeed in today's competitive market.
Expand Down Expand Up @@ -62,4 +72,4 @@ In the consolidated algorithms, the following Layer networks have been implement
| 19 | CGCGatingNetworkLayer | task and expert Net in PLE|
| 20 | BiLinearInteractionLayer | Last feature net in Fibinet|
| 21 | CoActionLayer | co-action unit layer in CAN|
| 22 | MaskBlockLayer | MaskBlockLayer in MaskNet|
| 22 | MaskBlockLayer | MaskBlockLayer in MaskNet|

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