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Awesome GitHub RepositoriesAutomatic Backend Selectors
Activate a high-performance inference plugin that automatically selects the optimal backend and configuration to speed up model predictions.
Distinct from High-Performance Inference Modes: Distinct from High-Performance Inference Modes: focuses on automatic backend selection, not manual configuration parameters.
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Awesome Automatic Backend Selectors GitHub Repositories
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- paddlepaddle/paddlex
PaddlePaddle/PaddleX
6,163Voir sur GitHubPaddleX is a PaddlePaddle-based framework for building, deploying, and fine-tuning AI model pipelines, with pre-built support for computer vision, OCR, document analysis, and time series tasks. It offers a toolkit of ready-to-use pipelines for image classification, object detection, segmentation, and pose estimation, alongside an end-to-end OCR document analysis pipeline that extracts text, tables, formulas, and layout information. The platform also includes a dedicated time series forecasting pipeline for analyzing historical data to detect anomalies, classify patterns, and predict future val
Ships a high-performance inference plugin that automatically selects the optimal backend and configuration for model predictions.
Pythonai-pipelinesclassificationdeployment
