nsfw_data_scraper
mlops-v2
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| nsfw_data_scraper | mlops-v2 | |
|---|---|---|
| 2 | 3 | |
| 12,149 | 449 | |
| - | 7.1% | |
| 0.0 | 1.3 | |
| 3 months ago | 10 days ago | |
| Shell | Shell | |
| MIT License | MIT License |
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nsfw_data_scraper
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How can I set up a ‘data scrapper’ to download images from a subreddit ?
NSFW - https://github.com/alex000kim/nsfw_data_scraper
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Why does Python have a PEGI age rating?
the funniest thing about this library is that it relies on this repo to gather training data by scraping them from various sources. so basically, this repo can be used to literally download a shit ton of porn and hentai.
mlops-v2
- MLOps: Machine learning model management - Azure Machine Learning | Microsoft Learn
- Need help with Execute Python Script module in Azure ML Designer
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Create a Managed ML Inference Endpoint and deployment using Terraform
I would create a second step or stage for deploying the endpoint. There is no benefit to try and force terraform to do something it wasn't designed for. You can run AZ CLI commands from terraform, but I don't have experience doing so. Check out this mlops accelerator - https://github.com/Azure/mlops-v2 You can see how they use multiple pipeline for setting up the infrastructure then training and deploying the model.
What are some alternatives?
NsfwSpy.NET - A .NET image and video classifier used to identify explicit/pornographic content written in C#.
Time-Series-Library - A Library for Advanced Deep Time Series Models.
FuckIt.py - The Python error steamroller.
Data-Engineering-Roadmap - Roadmap for Data Engineering
get-sauce - A command line program to download Hentai videos and images from multiple websites
MachineLearningNotebooks - Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
azure - Azure-related repository
clearml - ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
SynapseML - Simple and Distributed Machine Learning
computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.
recommenders - Best Practices on Recommendation Systems