The core idea is to remove the error sources and difficulties of Deep Learning applications by providing a safe haven of commoditized practices, all available as a single core. While the Open Source Deep Learning Server is the core element, with REST API, and multi-platform support that allows training & inference everywhere, the Deep Learning Platform allows higher level management for training neural network models and using them as if they were simple code snippets. Ready for applications of image tagging, object detection, segmentation, OCR, Audio, Video, Text classification, CSV for tabular data and time series. Neural network templates for the most effective architectures for GPU, CPU, and Embedded devices. Training in a few hours and with small data thanks to 25+ pre-trained models. Full Open Source, with an ecosystem of tools (API clients, video, annotation, ...) Fast Server written in pure C++, a single codebase for Cloud, Desktop & Embedded.

Features

  • Easy setup for both development and production
  • Web UI for training & managing models
  • Neural network templates for the most effective architectures for GPU, CPU and Embedded devices
  • Focus on applications, AI is not a problem
  • Training in a few hours and with small data thanks to 25+ pre-trained models
  • Ready for applications of image tagging, object detection, segmentation, etc,

Project Samples

Project Activity

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License

GNU Free Documentation License

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Additional Project Details

Programming Language

C++

Related Categories

C++ Machine Learning Software, C++ OCR Software, C++ Object Detection Models, C++ Deep Learning Frameworks

Registered

2022-08-08