-
LoRa dataset
A LoRa dataset collected from 50 Pycom devices, and analyzed the performance of CNN-based RF fingerprinting on short- and long-term variations. -
WiFi 802.11b dataset
A large-scale WiFi 802.11b dataset, collected from 50 Pycom devices, and analyzed the performance of CNN-based RF fingerprinting on short- and long-term variations using LoRa... -
Zenkai - Framework for Exploring Beyond Backpropagation
Zenkai is an open-source framework designed to give researchers more control and flexibility over building and training deep learning machines. -
A Survey of Modulation Classification Using Deep Learning
This dataset is used for automatic modulation classification using deep learning. -
Energy Reconstruction from TAIGA-IACT Images using Deep Learning Methods
The dataset used for energy reconstruction in TAIGA-IACT images using deep learning methods. -
Recent advances in 3D object detection in the era of deep neural networks: A ...
A survey on 3D object detection in the era of deep neural networks. -
Packrat: Automatic Reconfiguration for Latency Minimization in CPU-based DNN ...
Packrat is a serving system for online inference that automatically determines the number of threads that need to be allocated to model instances to minimize inference latency. -
COVID-19 Diagnosis Dataset
The dataset used in this paper for COVID-19 diagnosis from community acquired pneumonia (CAP) in chest computed tomography (CT) images. -
GEMM Dataset
The dataset used in the paper is the GEMM (General Matrix Multiplication) dataset, which is used to evaluate the performance of the proposed algorithm. -
Versal VCK190 ACAP
The dataset used in the paper is the Versal VCK190 ACAP, which is a heterogeneous architecture containing a dual-core ARM Cortex-A72 processor, a dual-core ARM Cortex-R5F... -
Multiplexed virtual staining of label-free tissue
Autofluorescence images of label-free tissue sample can be used to perform micro-structured and multiplexed virtual staining using a deep neural network. -
BLUFF: Interactively Deciphering Adversarial Attacks on Deep Neural Networks
BLUFF is an interactive system for visualizing, characterizing, and deciphering adversarial attacks on DNNs. -
Generalized K-fan Multimodal Deep Model with Shared Representations
Multimodal learning with deep Boltzmann machines (DBMs) is an generative approach to fuse multimodal inputs, and can learn the shared representation via Contrastive Divergence... -
GalliformeSpectra: A Hen Breed Dataset
A comprehensive dataset featuring ten distinct hen breeds, capturing unique characteristics and traits of each breed. -
Memory Association Networks
Memory Association Networks (MANs) that memorize and remember any data. This neural network has two memories. One consists of a queue-structured short-term memory to solve the... -
FashionMNIST and CIFAR-10
The dataset used in the paper is FashionMNIST and CIFAR-10, which are commonly used datasets for image classification tasks. -
DeepVARwT: Deep Learning for a VAR Model with Trend
The dataset is a vector autoregressive (VAR) model with trend, where the mean is modeled by a recurrent neural network of the LSTM type, and the dependence structure is modeled... -
Synthetic dataset for Leaky ResNets
The dataset used in the paper is a synthetic dataset generated by teacher networks for a given true rank k∗. -
LAA Dataset
A dataset for estimating measurements received over a network, using a deep neural network based approximation architecture. -
Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item R...
The Deep-IRT model is a synthesis of the item response theory (IRT) model and a knowledge tracing model that is based on the deep neural network architecture called dynamic...
