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distilbert-onnx-quantization-benchmark
distilbert-onnx-quantization-benchmark PublicEnd-to-end ONNX quantization benchmark for DistilBERT — FP32 vs dynamic vs static INT8, comparing accuracy, latency, and model size tradeoffs
Python
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Optimized-Inference-Server
Optimized-Inference-Server PublicFastAPI-served MobileNetV3 inference server with ONNX quantization (dynamic vs. static), in-memory caching, and dynamic request batching — 11.4x throughput under concurrent load
Python
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Diffusion-Classifier-Based-Multimodal-Emotion-Recognition
Diffusion-Classifier-Based-Multimodal-Emotion-Recognition PublicThis is a M.Tech Research Thesis Repository containing the files for the development of the related models.
Python
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