NeoMLAn open-source machine learning framework
Supports both deep learning and traditional ML algorithms.
Use the powerful NeoML framework to build, train, and deploy machine learning models.
Neural networks with support for over 100 layer types
Traditional machine learning: 20+ algorithms (classification, regression, clustering, etc)
CPU and GPU support, fast inference
ONNX support
Languages: C++, Java, Objective С
Cross-platform: the same code can be run at Windows, Linux, macOS, iOS, and Android
How ABBYY uses NeoML?
NeoML is used by ABBYY engineers for computer vision and natural language tasks, including image preprocessing, classification, document layout analysis, OCR, and data extraction from structured and unstructured documents.
Deploy anywhere |
Source Code |
|
Deploy models in the cloud, on-prem, in the browser, or on-device. |
Repository: NeoML License: Apache 2.0 go to Github repository |
Deploy anywhere |
|
Deploy models in the cloud, on-prem, in the browser, or on-device. |
Source Code |
|
Repository: NeoML License: Apache 2.0 go to Github repository |