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model-inferencing

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VinodLouis / browser-inference-traditional

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This project benchmarks vision (MobileNet, ResNet20) and NLP (DistilBERT) models across server vs. client inference, using backend servers and ONNX-converted local models. It evaluates latency, UX, accuracy, and performance, dedicated to fulfilling the Master’s thesis in AI & ML.

resnet client-side server-side mobilnet-v2 onxx model-benchmarking-and-optimization distillbert model-inferencing
  • Updated Feb 9, 2026
  • TypeScript

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