This topic provides a list of documents about use cases for Data Science Workshop (DSW).
Case Name | Description |
Shows how to use the responsible-ai-toolbox in DSW of Alibaba Cloud PAI to analyze model fairness. This example evaluates a model that predicts whether an annual income exceeds 50K based on gender and race. | |
Shows how to use the responsible-ai-toolbox in DSW of Alibaba Cloud PAI to perform error analysis on a model. This example predicts whether the annual income of various population groups in a census dataset is greater than 50K. | |
Shows how to use EasyVision in DSW for object detection. | |
Shows how to use EasyTransfer in DSW for text classification. This includes model training, evaluation, prediction, export, and deployment. | |
Shows how to use the EasyASR algorithm package in DSW for speech recognition. | |
Shows how to train a speech classification model in DSW using the EasyASR algorithm package. | |
Shows how to fine-tune an AIGC Stable Diffusion model in Alibaba Cloud DSW using the open source Diffusers library. This document also explains how to launch a WebUI based on the open source Stable-Diffusion-WebUI library to perform model inference. | |
This document uses ChatGLM as an example to show how to train, fine-tune, and perform inference on the model in Alibaba Cloud DSW. | |
Shows how to quickly launch the Stable Diffusion WebUI in Alibaba Cloud DSW using the Stable-Diffusion-WebUI library to perform inference on Stable Diffusion models. | |
Shows how to use Alibaba Cloud DSW to perform full-parameter fine-tuning on the Llama-2-7B-Chat model. | |
Generate an AI singer using the open source so-vits-svc library | Shows how to generate an AI singer end-to-end in Alibaba Cloud DSW using the open source so-vits-svc library. |
Shows how to perform interactive image restoration in Alibaba Cloud DSW. |