Highlights
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cpu-performance-engineering
cpu-performance-engineering PublicA reading path for CPU performance engineering, from one instruction to production inference. Primary sources only, with a runnable benchmark for every section.
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pytorch/executorch
pytorch/executorch PublicOn-device AI across mobile, embedded and edge for PyTorch
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pytorch/pytorch
pytorch/pytorch PublicTensors and Dynamic neural networks in Python with strong GPU acceleration
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make-your-model-fast
make-your-model-fast PublicA Systems View of Efficient Machine Learning, from Silicon to Agents. Fourteen parts, from roofline analysis and vector units up through kernels, compilers, quantisation, compression, vision, on-de…
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