Koszek-Matyja Network Simulator. Specify network architecture in a simple configuration file and run network simulations.
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Updated
Dec 3, 2015 - C
Koszek-Matyja Network Simulator. Specify network architecture in a simple configuration file and run network simulations.
Cumulative homeworks for Game Engine Foundations (CSC 591) at NC State, Fall '16. It involves making a working game engine with a monolithic game object model, networked architecture, events and scripting.
Caffe implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).
Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).
Chainer implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).
Tensorflow implementation of "Exploring Randomly Wired Neural Networks for Image Recognition"
Computer networks abstraction layers explained to programmers through Object Oriented code and examples
A deep learning Crazyhouse chess program that uses a Monte Carlo Tree Search (MCTS) based evaluation system and reinforcement to enhance its play style.
Implement and train slim deep neural network for semantic segmentation
Using a provided simulator, a neural network is used to clone the driving behavior of a given user.
FrostNet: Towards Quantization-Aware Network Architecture Search
VLAN Mac-address Authentication Manager
XPTO-Network: a complete enterprise network plan.
real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)
Combine computer vision techniques and deep learning architectures to build a facial keypoint detection system.
Cascading Convolutional Temporal Color Constancy (TCC)
Lets Map Your Network enables you to visualise your physical network in form of graph with zero manual error
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