DBN++ Data Structures and Algorithms in C++ for Dynamic Bayesian Networks
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Updated
Feb 5, 2016 - C++
DBN++ Data Structures and Algorithms in C++ for Dynamic Bayesian Networks
BN++ Data Structures and Algorithms in C++ for Bayesian Networks
This is the code for our publication Inferring Latent States in a Network Influenced by Neighbor Activities: An Undirected Generative Approach, IEEE International Conference on Acoustics, Speech and Signal Processing, New Orleans, LA, 2017
C++ CPU inference library for Tensorflow object detection models based on the lightweight Tensorflow C-API.
A REST API for Caffe using Docker and Go
Upgrade deprecated caffemodel to latest caffemodel (V1LayerParameters to LayerParameters) without installing caffe
Inference of a train CycleGAN model applied to a live viewfinder. Using TF for Android
G-PhoCS is a software package for inferring ancestral population sizes, population divergence times, and migration rates from individual genome sequences.
ONNX Parser is a tool that automatically generates openvx inference code (CNN) from onnx binary model files.
NVIDIA DeepStream SDK
A RESTful API server to perform inference based on Intel OpenVINO 2018 R5
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A simple tensorflow C++ REST API server
(Reproduction)Sum-product network implementation and its application to image completion.
HLS based Deep Neural Network Accelerator Library for Xilinx Ultrascale+ MPSoCs
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