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harvard-edge
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《Machine Learning Systems: Design and Implementation》 (V2 is launching soon)
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Efficient Deep Learning Systems course materials (HSE, YSDA)
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A framework to enable a multimodal model to operate a computer.
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Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows…
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RobotGo, Go Native cross-platform RPA, GUI automation, Auto test and Computer use @vcaesar
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Fara-7B: An Efficient Agentic Model for Computer Use
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3D Computer Vision Framework
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The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
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Scenic: A Jax Library for Computer Vision Research and Beyond
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Computer vision assisted tool to extract numerical data from plot images.
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CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.
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CVNets: A library for training computer vision networks
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Turn any computer or edge device into a command center for your computer vision projects.
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200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
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UnrealCV: Connecting Computer Vision to Unreal Engine