Intel® End-to-End AI Optimization Kit
Project description
Intel® End-to-End AI Optimization Kit
Intel® End-to-End AI Optimization Kit (code name AIDK) is a set of kits for E2E AI democratization on CPU. It is a pipeline framework that streamlines AI democratization technologies in each stage of E2E AI pipeline, including data processing, feature engineering, training, hyper-parameter tunning, and inference. Intel® End-to-End AI Optimization Kit delivers high performance, lightweight models efficiently on commodity hardware.
Motivation and Solution
Modern end to end machine learning or deep learning system usually includes a lifecycle of data processing, feature engineering, training, inference and serving. In this project, we provided four Major components:
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RecDP (Feature Engineering)
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Democratized Modelzoo(Recsys, Computer Vision, NLP, speech recognition, etc)
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DeNas(train-free Neural Architecture Search)
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TLK(Transfer Learning Kit)
Indices and tables
- Examples
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Built-in Models
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DENAS Models
- ComputerVision - computer vision
- BERT - Natural Language Processing
- ASR - speech recognition
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TLK Models
- TLK - transfer learning kit
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DENAS-TLK Joint Models
- BERT - Natural Language Processing
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hugging face intergration
- NLP_DeNas_KD - hugging face + DENAS NLP + TLK KD
- CV_DeNas_KD - hugging face CV + TLK
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Project details
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