This is the Windows app named CRSLab whose latest release can be downloaded as CRSLabv0.1.2.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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CRSLab
DESCRIPTION
CRSLab is an open-source toolkit for building Conversational Recommender System (CRS). It is developed based on Python and PyTorch. CRSLab has the following highlights. Comprehensive benchmark models and datasets: We have integrated commonly-used 6 datasets and 18 models, including graph neural network and pre-training models such as R-GCN, BERT and GPT-2. We have preprocessed these datasets to support these models, and release for downloading. Extensive and standard evaluation protocols: We support a series of widely-adopted evaluation protocols for testing and comparing different CRS. General and extensible structure: We design a general and extensible structure to unify various conversational recommendation datasets and models, in which we integrate various built-in interfaces and functions for quickly development. Easy to get started: We provide simple yet flexible configuration for new researchers to quickly start in our library. Human-machine interaction interfaces.
Features
- Extensive and standard evaluation protocols
- Human-machine interaction interfaces
- Easy to get started
- General and extensible structure
- Comprehensive benchmark models and datasets
- CRSLab requires Python version 3.6 or later
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/crslab.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
