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rapidsai
cuML - RAPIDS Machine Learning Library
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cuML - RAPIDS Machine Learning Library
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A library of extension and helper modules for Python's data analysis and machine learning libraries.
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A blazing fast inference solution for text embeddings models
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AI You Control: Choose your models. Own your data. Eliminate vendor lock-in.
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A Rust machine learning framework.
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a machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image
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Agent OS: Stop prompting. Start specifying.
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[GenAI Application Development Framework] 🚀 Build GenAI application quick and easy 💬 Easy to interact with GenAI agent in code using structure data and chained-calls s…
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Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.
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One delightful Ruby framework for every major AI provider. Build AI agents, chatbots, RAG apps, and multimodal workflows in beautiful, expressive code.
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35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider…
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AI Agent that handles engineering tasks end-to-end: integrates with developers’ tools, plans, executes, and iterates until it achieves a successful result.
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:earth_americas: machine learning tutorials (mainly in Python3)
Design direction, Figma implementation, UI review, React performance, browser QA, and safe preview deployments.
Code review, repo inspection, testing, planning, shipping, and engineering workflows for coding agents.
Research, recent-events briefings, PDF parsing, markdown conversion, RAG ingestion, and knowledge workflows.
Stock analysis, market research, quant backtesting, financial data, and investment research skills.
Crawling, scraping, extraction, browser automation, structured data capture, and website-to-markdown workflows.
Presentation generation, editable PPTX, slide decks, speaker notes, and visual storytelling workflows.
Image, video, creative production, UI design, multimodal generation, and visual workflow skills.
Data analysis, analytics, ETL, notebooks, databases, tables, charts, and reporting workflows.