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RPubs
RPubs

Researchers Demonstrate Transformer Architecture-Based Anomaly Detection  for Cybersecurity -- Pure AI
Researchers Demonstrate Transformer Architecture-Based Anomaly Detection for Cybersecurity -- Pure AI

notebook.community
notebook.community

Frontiers | Stochastic-HD: Leveraging Stochastic Computing on the  Hyper-Dimensional Computing Pipeline
Frontiers | Stochastic-HD: Leveraging Stochastic Computing on the Hyper-Dimensional Computing Pipeline

Description of gesture phase segmentation dataset | Download Scientific  Diagram
Description of gesture phase segmentation dataset | Download Scientific Diagram

Semi-supervised Feature Selection With Soft Label Learning
Semi-supervised Feature Selection With Soft Label Learning

Big Data Heterogeneous Mixture Learning on Spark
Big Data Heterogeneous Mixture Learning on Spark

tensorflow - Keras Gpu: Configuration - Stack Overflow
tensorflow - Keras Gpu: Configuration - Stack Overflow

Relative CPU Performance Data — cpu • ucimlr
Relative CPU Performance Data — cpu • ucimlr

CPU HARDWARE CLASSIFICATION AND PERFORMANCE PREDICTION USING NEURAL  NETWORKS AND STATISTICAL LEARNING
CPU HARDWARE CLASSIFICATION AND PERFORMANCE PREDICTION USING NEURAL NETWORKS AND STATISTICAL LEARNING

BDCC | Free Full-Text | A Combined System Metrics Approach to Cloud Service  Reliability Using Artificial Intelligence
BDCC | Free Full-Text | A Combined System Metrics Approach to Cloud Service Reliability Using Artificial Intelligence

Benchmarking R, Revolution R, and HyperThreading for data mining |  Heuristic Andrew
Benchmarking R, Revolution R, and HyperThreading for data mining | Heuristic Andrew

Using Kaggle for Faster Experimentation | Data Science with Python
Using Kaggle for Faster Experimentation | Data Science with Python

Python Ray -The Fast Lane to Distributed Computing
Python Ray -The Fast Lane to Distributed Computing

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notebook.community

LightGBM does not like NUMA (large performance impact on servers) · Issue  #1441 · microsoft/LightGBM · GitHub
LightGBM does not like NUMA (large performance impact on servers) · Issue #1441 · microsoft/LightGBM · GitHub

RPubs - Logistic Regression
RPubs - Logistic Regression

UCI Machine Learning Repository: Computer Hardware Data Set
UCI Machine Learning Repository: Computer Hardware Data Set

BDCC | Free Full-Text | A Combined System Metrics Approach to Cloud Service  Reliability Using Artificial Intelligence
BDCC | Free Full-Text | A Combined System Metrics Approach to Cloud Service Reliability Using Artificial Intelligence

Hybrid architecture based on two-dimensional memristor crossbar array and  CMOS integrated circuit for edge computing | npj 2D Materials and  Applications
Hybrid architecture based on two-dimensional memristor crossbar array and CMOS integrated circuit for edge computing | npj 2D Materials and Applications

Electronics | Free Full-Text | Approximate CPU Design for IoT End-Devices  with Learning Capabilities
Electronics | Free Full-Text | Approximate CPU Design for IoT End-Devices with Learning Capabilities

Optimal training of integer-valued neural networks with mixed integer  programming | PLOS ONE
Optimal training of integer-valued neural networks with mixed integer programming | PLOS ONE

Remote Sensing | Free Full-Text | Performance of Fingerprinting-Based  Indoor Positioning with Measured and Simulated RSSI Reference Maps
Remote Sensing | Free Full-Text | Performance of Fingerprinting-Based Indoor Positioning with Measured and Simulated RSSI Reference Maps

Electronics | Free Full-Text | Clustering Algorithms for Enhanced  Trustworthiness on High-Performance Edge-Computing Devices
Electronics | Free Full-Text | Clustering Algorithms for Enhanced Trustworthiness on High-Performance Edge-Computing Devices

PDF) GPUTreeShap: massively parallel exact calculation of SHAP scores for  tree ensembles
PDF) GPUTreeShap: massively parallel exact calculation of SHAP scores for tree ensembles

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notebook.community

UCI Donald Bren School of Information & Computer Science - Year in review  2019 by uci6062 - Issuu
UCI Donald Bren School of Information & Computer Science - Year in review 2019 by uci6062 - Issuu

CPU HARDWARE CLASSIFICATION AND PERFORMANCE PREDICTION USING NEURAL  NETWORKS AND STATISTICAL LEARNING
CPU HARDWARE CLASSIFICATION AND PERFORMANCE PREDICTION USING NEURAL NETWORKS AND STATISTICAL LEARNING