Computation
Artificial Intelligence
Chronon — A Declarative Feature Engineering Framework Background Introducing Chronon API Overview Understanding accuracy Understanding data sources Event data sources Entity data sources Cumulative Event Sources Understanding computation contexts Understanding computation types Understanding Aggregations Putting All...
Nikhil Simha RaproluAirbnb uses machine learning in almost every product, from rating search results to intelligently pricing listings and routing users to the precise customer support agents.We noticed that feature management was a consistent...
Artificial Intelligence
Boosting PyTorch Inference on CPU: From Post-Training Quantization to Multithreading Problem Statement: Deep Learning Inference under Limited Time and Computation Constraints Approaching Deep Learning Inference on...
For an in-depth explanation of post-training quantization and a comparison of ONNX Runtime and OpenVINO, I like to recommend this text:This section will specifically have a look at two popular techniques of post-training quantization:ONNX...
Artificial Intelligence
Boosting PyTorch Inference on CPU: From Post-Training Quantization to Multithreading Problem Statement: Deep Learning Inference under Limited Time and Computation Constraints Approaching Deep Learning Inference on...
For an in-depth explanation of post-training quantization and a comparison of ONNX Runtime and OpenVINO, I like to recommend this text:This section will specifically have a look at two popular techniques of post-training quantization:ONNX...
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