Top 3 Python ai-training Projects
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scikit-learn-intelex
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
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Data Flow Facilitator for Machine Learning (dffml)
The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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BingImageAITrainer
A tool for generating diverse synthetic training images using Bing Image Creator to facilitate the training of AI/ML image models.
Project mention: I made a tool for generating training images | /r/ArtificialInteligence | 2023-06-06https://github.com/atticusrussell/BingImageAITrainer Getting training data for AI models involving imaging is difficult. I created this tool to generate synthetic training images while changing as many or as few parameters about the images as desired. This is accomplished using Bing Image Creator, which uses the DALLE-2 model.
Index
What are some of the best open-source ai-training projects in Python? This list will help you:
Project | Stars | |
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1 | scikit-learn-intelex | 1,161 |
2 | Data Flow Facilitator for Machine Learning (dffml) | 241 |
3 | BingImageAITrainer | 3 |
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