returned for Tags:"deep-learning"
Microsoft CNTK, GPU Build
Microsoft Cognitive Toolkit Libraries, GPU Build
This is a lightweight package which is able to run neural networks with weights from different sources like Keras models.
Microsoft CNTK, CPU-Only Build
Microsoft Cognitive Toolkit Libraries, CPU-Only Build
Microsoft CNTK, UWP CPU-Only Build
Microsoft Cognitive Toolkit Libraries, UWP CPU-Only Build
Provides learning algorithms and models for neural net regression and classification.
Yolo Darknet Wrapper, Real-Time Object Detection (yolo core of AlexeyAB/darknet)
Hype: Compositional Machine Learning and Hyperparameter Optimization
Hype is a proof-of-concept deep learning library, where you can perform optimization on compositional machine learning systems of many components, even when such components themselves internally perform optimization.
This is enabled by nested automatic differentiation (AD) giving you access to the...
F# extensions for CNTK
F# extensions to simplify CNTK usage
Simple library for creating sequential models of convolutional neural networks. Library is for the solving small problems because is aimed on the readable code and modularity more than performance.
321 total downloads
Library for optimized Deep Learning models.
The library is based on python's theano library and offers great tools to create deep learning models.
Automatic gradient differentiation is available.
Developing a C# wrapper to help developer easily create and train deep neural network models.
Easy to use library, just focus on research
Multiple backend - ArrayFire (In Progress), TensorSharp (In Progress), CNTK (Not Started), TensorFlow (Not Started), MxNet (Not Started)
CUDA/ OpenCL support for...
MxNet backend for SiaNet library. Please install SiaNet along with this backend.
ArrayFire backend for SiaNet library. Please install SiaNet along with this backend.
TensorFlow backend for SiaNet library. Please install SiaNet along with this backend.
CNTK backend for SiaNet library. Please install SiaNet along with this backend.