https://jalammar.github.io/visualizing-pandas-pivoting-and-reshaping/ https://stanford-cs329s.github.io/syllabus.html
ככל הנראה שהעיקר מוטיבציה זה ליצור BUNDEL אחיד בנושא
נתונים:
ישנה סיריאליזציה של נתונים של ML PIPELINE יש DOCKER ל SERVING
חסורון :
תחזוקתי שלא עושה WARM UP למודול (יתכן שישפיע על הביצועים)
יתרון:
התנהלות REST
http://scikit-learn.org/stable/
seldon - seldon core - Open source platform for deploying machine learning models on Kubernetes
elephas - Deep learning on Spark with Keras databricks/spark-deep-learning
polyaxon - An open source platform for reproducible machine learning at scale.
kubeflow - The Machine Learning Toolkit for Kubernetes
pachyderm - Pachyderm lets you deploy and manage multi-stage, language-agnostic data pipelines while maintaining complete reproducibility and provenance.
chainer - A Powerful, Flexible, and Intuitive Framework for Neural Networks
pytorch - An open source deep learning platform that provides a seamless path from research prototyping to production deployment.
NVIDIA TensorRT - NVIDIA TensorRT™ is a platform for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high-throughput for deep learning inference applications. TensorRT-based applications perform up to 40x faster than CPU-only platforms during inference. With TensorRT, you can optimize neural network models trained in all major frameworks, calibrate for lower precision with high accuracy, and finally deploy to hyperscale data centers, embedded, or automotive product platforms.
caffe2 A New Lightweight, Modular, and Scalable Deep Learning Framework