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CPU and GPU-accelerated Machine Learning Library.
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CPU and GPU-accelerated matrix library intended to support large-scale exploratory data analysis.
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An open-source LLM gateway with routing, load balancing, guardrails, and observability for 1000+ models. opensource.
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AI model for generating images from text descriptions.
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Creates or edits images with generative models and visual controls.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
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Official inference framework for 1-bit LLMs, by Microsoft. opensource.
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Accessible large language models via k-bit quantization for PyTorch.
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Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
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A DeepSeek-native terminal coding agent in Rust with OS-level sandboxing, persistent goal mode, background tasks, and verification gates.
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NumPy and Pandas interface to Big Data.
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A lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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BlockAGI conducts iterative, domain-specific research, and outputs detailed narrative reports to showcase its findings.
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BigScience Large Open-science Open-access Multilingual Language Model.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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The building blocks for building chatbots.
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A dashboard library for interactive visualizations using flask socketio and react.
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Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
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An API for plotting in Jupyter (IPython).
Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.
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Everything you need to know to build your own RAG application.
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Neural networks in JavaScript - continued community fork of Brain.