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A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
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Simple, realtime visualization of neural network training performance.
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Tutorial on Python time-series model deployment.
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AI Character/Companion in Realtime.
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Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice.
Creates or edits images with generative models and visual controls.