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Top 3 Jupyter Notebook foundation-model Projects
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alpaca_eval
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
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torchxrayvision
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
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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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language-planner
Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"
Alpaca Eval is open source and was developed by the same team who trained the alpaca model afaik. It is not like what you said in the other comment
Jupyter Notebook foundation-models related posts
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UltraLM-13B reaches top of AlpacaEval leaderboard
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Autodistill: use big slow foundation models to train small fast supervised models (r/MachineLearning)
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[P] Autodistill: use big slow foundation models to train small fast supervised models
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Autodistill: Use big slow foundation models to train small fast models
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[P] AlpacaEval : An Automatic Evaluator for Instruction-following Language Models
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A note from our sponsor - SaaSHub
www.saashub.com | 19 May 2024
Index
What are some of the best open-source foundation-model projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | alpaca_eval | 1,160 |
2 | torchxrayvision | 840 |
3 | language-planner | 227 |
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