SriHarsha Paladugula

Automating ML Workflows | Streamlining Model Development, Testing, and Deployment

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Efficiency Metrics Part 2: Memory Metrics for Deep Learning Nov 16, 2024

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Neural Architecture Search Part 1: Foundations and Building Blocks
Neural Architecture Search Part 2: Search Spaces and Strategies
Neural Architecture Search Part 3: Applications and Real-World Impact
Neural Architecture Search Part 4: Efficient Estimation Strategies
Neural Architecture Search Part 5: Hardware-Aware NAS and Co-Design

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Deep Learning quantization Neural Networks NLP Transformers Model Compression NAS Pruning Hardware inference

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Deep Learning quantization Neural Networks NLP Transformers Model Compression NAS Pruning Hardware inference

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