LazyPredict A Python library that enables you to train, test, and evaluate multiple ML models at once using just a few lines of code. Supports both regression & classification! Check this out https://
pypi.org/project/lazypr
edict/
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OPEN SOURCE
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LazyPredict: Train Multiple ML Models with Minimal Code
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10 Python packages for Data Science unknown to many
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10 great Python packages for Data Science not known to many:
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Android reproducible builds now supported
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We do allow this. We have reproducible builds for Android, linked from the response.
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Datasette Pins: Open Source Plugin for Cloud Features
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As with almost all Datasette Cloud features this is also available as an open source plugin that you can run on your own Datasette instance: https://
github.com/datasette/data
sette-pins
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New Model Request for Ollama and LM Studio
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yes, seems like a great new model request for @ollama and @LMStudioAI
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Gemma 10 Model Released: Access Hub and Technical Documentation
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Get the model here: • : https://
tinyurl.com/gemma10hf
• GitHub: https://
tinyurl.com/gemma10git
• Technical blog: https://
tinyurl.com/gemma10blog -
Google Gemma 10M Context Window: Local LLM Breakthrough
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Google Gemma with a 10M context window LLM features:
• 1250x context length of base Gemma
• Requires less than 32GB of memory
• Infini-attention + activation compression Imagine if you can run 10 million context LLM locally on your computer with @ollama or @LMStudioAI
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Signal Emphasizes Open Development Security Auditing
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Feel what you feel, but we're not asking you to take our word. We're developing in the open, enabling verification, and working with the security community to audit and attest to our code and the promises it keeps. That's the difference between Signal and the rest of the major
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New open source model with 10M context window
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A new open source model with 10M context window is out. “We gradually increased context size from 32K →… 4M → 10M. This allowed us to prioritize pretraining with shorter sequences in the beginning, thereby offering higher utilization rates.”
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Open Source Fights Back Against AI Regulation at Capitol
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Last week, I spoke about AI and regulations at an event at the U.S. Capitol attended by legislative and business leaders. I’m encouraged by the progress the open source community has made fending off regulations that would have stifled innovation. But opponents of open source are