darknetz
DNN processor
An application that runs several layers of a Deep Neural Network model in a secure environment for model privacy at the edge
runs several layers of a deep learning model in TrustZone
86 stars
3 watching
29 forks
Language: C
last commit: about 2 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
 mil-tokyo/webdnn | A framework that accelerates deep neural networks in web browsers using optimized models and GPU acceleration. | 1,978 |
 mzaradzki/neuralnets | An experiment with various deep learning libraries and frameworks on images and time series data | 162 |
 doonny/pipecnn | A tool for accelerating convolutional neural networks on Field-Programmable Gate Arrays (FPGAs) using OpenCL-based hardware design | 1,264 |
 mosdeo/lkydeepnn | A header-only C++ library for training and deploying deep neural networks on embedded systems | 49 |
 guanghan/darknet | An implementation of a neural network framework for computer vision tasks, supporting both CPU and GPU computation. | 244 |
 forresti/squeezenet | Provides pre-trained models and training configurations for a deep neural network architecture optimized for image classification tasks | 2,181 |
 namisan/mt-dnn | A PyTorch package implementing multi-task deep neural networks for natural language understanding | 2,238 |
 jingweiz/pytorch-dnc | An implementation of Neural Turing Machine and Differentiable Neural Computer architectures using PyTorch and Visdom for deep learning tasks. | 278 |
 mahmoudnafifi/cie_xyz_net | A software framework for unprocessing images to enhance low-level computer vision tasks using color processing and deep neural networks. | 79 |
 ucb-bar/gemmini | A platform for exploring and evaluating deep learning hardware acceleration using a full-system simulation approach | 828 |
 element-research/dpnn | A package of reusable building blocks for deep neural networks in Lua | 194 |
 unagiootoro/ruby-dnn | A Ruby-based deep learning library for building and training neural networks | 46 |
 ajtulloch/dnngraph | A DSL and toolkit for designing and optimizing deep neural networks in Haskell | 702 |
 yixuan/minidnn | A C++ library implementing deep neural networks with good performance and modularity | 399 |
 mg2033/shufflenet | An implementation of a computationally efficient deep neural network architecture designed for mobile devices with limited computing power. | 383 |