Ashmanov.net

Ashmanov
Neural Networks

Neural network-based apps and services

We develop products based on neural networks
and Machine Learning.
We provide Machine Learning technology consulting services.
Would you like to learn how you can benefit from employing machine learning solutions? We are happy to offer you a first consultation session for free.
PuzzleLib framework: we have developed
the most fast-speed neural network building framework.

Products

Object detection for photo and video

We develop algorithms for detecting and classifying objects in photos and videos. Our detectors perform at an average speed of 100 frames per second for a 640х480 video stream. Detection accuracy and exhaustiveness depend on the specific task and the required detection speed.

Face Radar

The Face Radar face recognition system enables automatic identification of faces, age and gender characteristics and emotions from the video image.

PuzzleLib Framework

PuzzleLib neural network framework is designed for building, training, and operating neural networks. The framework supports all cutting-edge types of neural networks and utilizes GPU accelerators.

PuzzleLib Framework

PuzzleLib neural network framework is designed for building, training, and operating neural networks. The framework supports all cutting-edge types of neural networks and utilizes GPU accelerators. The library is available through the majority of operating systems: Windows, Linux, MacOS, iOS.

Our partners

Foundation for Assistance to Small Innovative Enterprises (FASIE)
NVIDIA
Intel
MCST
MIPT

About Us

“Ashmanov Neural Networks” company was founded in 2015 by Stanislav Ashmanov and Igor Modyaev.
What we do:

–We develop and sell neural network-based products
–We have created and are advancing Russia’s first deep learning framework
–We advise businesses and help our clients identify how to benefit from introducing machine learning technologies
– We conduct research on unsupervised learning, on Geoffrey Hinton’s capsule networks, and on object tracking in video

Starting in 2015, we have been a Skolkovo resident and we have been receiving Skolkovo Foundation support.

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