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Speech recognition toolkit with streaming ASR, VAD, punctuation, speaker diarization, and OpenAI-compatible serving for voice AI applications.
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Command line tool to manage Google Workspace
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Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
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AI code reviewer for GitHub Actions or local use, compatible with any LLM and integrated with Jira/Linear.
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Package for computer vision using OpenCV 4 and beyond.
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Control Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms, Tasks, Search & Drive with AI - Comprehensive Google Workspace MCP Server & CLI Tool
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Command line tool to mass upload media folders to your google photos account(s) (Mac OS / Linux)
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Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
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GPT Researcher is an autonomous agent designed for comprehensive online research on a variety of tasks.
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Create customizable UI components around your models.
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A library for developing and comparing reinforcement learning algorithms (successor of [gym])(https://github.com/openai/gym).
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Run LLM backends, APIs, frontends, and services with one command.
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"building applications with LLMs through composability".
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A framework for elegantly configuring complex applications.
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icr is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Open-source agent skill and npm CLI for daily-updated arXiv, PubMed/PMC, and US policy retrieval with deterministic freshness cutoffs. Apache-2.0.
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Julia-language backend combined with the Jupyter interactive environment.
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A Java port of SciPy's signal processing module, offering filters, transformations, and other scientific computing utilities.
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Jupyter notebook is a web-based notebook environment for interactive computing.
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Neural network inference from the command line, implemented in CHICKEN Scheme.
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Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
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Lifelines is a complete survival analysis library, written in pure Python.
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Lightly is a computer vision framework for self-supervised learning.
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Pretrain computer vision models on unlabeled data for industrial applications.