Topic: cognitive-toolkit Goto Github
Some thing interesting about cognitive-toolkit
Some thing interesting about cognitive-toolkit
cognitive-toolkit,Sistema pictográfico para la creación de apoyos a la accesibilidad cognitiva
Organization: accesibilidad-inclusion
Home Page: https://pictogramas.pictos.cl/
cognitive-toolkit,Porting of the CNTK RNN Python example to C# API
User: albertalrisa
cognitive-toolkit,CNTK Deep Neural Network Builder
User: asapin
cognitive-toolkit,
User: asapin
cognitive-toolkit,Cognitive CSharpKit (Cognitive ToolkitのC#ラッパー)
User: imagingsolution
cognitive-toolkit,A С# adapter to query Intento API – a single API to Cognitive AI services from many vendors
Organization: intento
Home Page: https://inten.to
cognitive-toolkit,A JS adapter to query Intento API – a single API to Cognitive AI services from many vendors
Organization: intento
Home Page: https://inten.to
cognitive-toolkit,This POC is using CNTK 2.1 to train model for multiclass classification of images. Our model is able to recognize specific objects (i.e. toilet, tap, sink, bed, lamp, pillow) connected with picture types we are looking for. It plays a big role in a process which will be used to classify pictures from different hotels and determine whether it's a picture of bathroom, bedroom, hotel front, swimming pool, bar, etc.
User: karolzak
cognitive-toolkit,This sample project shows off how to prepare and deploy to Azure Web Apps a simple Python web service with an image classifying model produced in CNTK (Cognitive Toolkit) using FasterRCNN
User: karolzak
cognitive-toolkit,Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Organization: microsoft
Home Page: https://docs.microsoft.com/cognitive-toolkit/
cognitive-toolkit,Machine learning for multimedia
User: milangada
cognitive-toolkit,C# library for easy Deep Learning and Deep Reinforcement Learning. It is wrapper over C# CNTK API. Has implementation of layers (LSTM, Convolution etc.), optimizers, losses, shortcut-connections, sequential model, sequential multi-output model, agent teachers, policy gradients, actor-critic etc. Contains helpers for work with dataset (split, statistics, SMOTE etc). Allows train, evaluate and inference deep neural networks in style similar to Keras.
User: stanislavgrigoriev
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