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Design and Deploy Large Language Model Apps.
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E-commerce skills for AI agents — product research, marketing automation, supply chain optimization, and business analytics for online sellers across Amazon, Shopify, Etsy, TikTok Shop, and all platforms.
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Deep learning operations reinvented (for pytorch, tensorflow, jax and others).
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Python package which helps to debug machine learning classifiers and explain their predictions.
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Machine learning development environment for data science and AI/ML engineering teams.
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Visualizations for understanding and analyzing machine learning datasets.
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A Python package to assess and improve fairness of machine learning models.
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FastEdit aims to assist developers with injecting fresh and customized knowledge into large language models efficiently using one single command.
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Industrial Grade Federated Learning Framework.
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Feature store for machine learning.
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Feature engineering package with SKlearn like functionality.
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Set of tools for creating and testing machine learning features, with a scikit-learn compatible API.
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Secure zero-knowledge encrypted file sharing (AES-256-GCM in-browser). No account required, MIT licensed, self-hostable, optional link expiry.
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PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
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Ignite your models into blazing-fast machine learning APIs with a modern framework.
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Finds accurate ML models automatically, efficiently and economically.
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Running large language models on a single GPU for throughput-oriented scenarios. (Archived).
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This basically to gauge the understanding of Machine Learning Workflow and Regression technique in specific.
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Friendly Federated Learning Framework.
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Drag & drop UI to build your customized LLM flow using LangchainJS.
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Security research toolkit for extracting, transforming, and analyzing data during investigation workflows.
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Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer.
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Unsupervised machine learning with multivariate Gaussian mixture model.
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Julia package for Gaussian processes.