fdata-03-00004.pdf
    1.5 MB
  AI in Healthcare: Time-Series 
Forecasting Using Statistical, Neural,
and Ensemble Architectures #Paper #Ensemble #2021 @Machine_learn
  Forecasting Using Statistical, Neural,
and Ensemble Architectures #Paper #Ensemble #2021 @Machine_learn
ICDE21.pdf
    326.5 KB
  An Actor-Critic Ensemble Aggregation Model for 
Time-Series Forecasting #Paper #Ensemble #2021 @Machine_learn
  Time-Series Forecasting #Paper #Ensemble #2021 @Machine_learn
sensors-21-01954-v2.pdf
    2.3 MB
  Multi-Time Resolution Ensemble LSTMs for Enhanced Feature 
Extraction in High-Rate Time Series #Paper #Ensemble #2021 @Machine_learn
  Extraction in High-Rate Time Series #Paper #Ensemble #2021 @Machine_learn
Shastri2021_Article_CoBiD-netATailoredDeepLearning.pdf
    1.6 MB
  CoBiD-net: a tailored deep learning ensemble model for time 
series forecasting of covid-19 #Paper #Ensemble #2021 @Machine_learn
  series forecasting of covid-19 #Paper #Ensemble #2021 @Machine_learn
zhang2021.pdf
    5.6 MB
  A novel ensemble deep learning model with dynamic error correction and multi-objective ensemble pruning for time series forecasting #Paper #Ensemble #2021   @Machine_learn
  Deep Social Force
Github: https://github.com/svenkreiss/socialforce
Paper: https://arxiv.org/abs/2109.12081v1
@Machine_learn
  Github: https://github.com/svenkreiss/socialforce
Paper: https://arxiv.org/abs/2109.12081v1
@Machine_learn
2010.01217.pdf
    1.4 MB
  Artificial Intelligence Enabled Traffic Monitoring System  #Traffic_Monitoring #Paper #2021    @Machine_learn
  1-s2.0-S0140366421000426-main_2.pdf
    1.3 MB
  Deep Learning for Network Traffic Monitoring and Analysis (NTMA): A 
Survey #Traffic_Monitoring #Paper #2021 @Machine_learn
  Survey #Traffic_Monitoring #Paper #2021 @Machine_learn
75868.pdf
    4.9 MB
  Traffic Monitoring using an Object Detection Framework with Limited 
Dataset #Traffic_Monitoring #Paper #2021 @Machine_learn
  Dataset #Traffic_Monitoring #Paper #2021 @Machine_learn
10.1109@ICICT48043.2020.9112408.pdf
    2.8 MB
  Road Traffic Condition Monitoring using 
Deep Learning #Traffic_Monitoring #Paper #2021 @Machine_learn
  Deep Learning #Traffic_Monitoring #Paper #2021 @Machine_learn
Al-qaness2021_Article_AnImprovedYOLO-basedRoadTraffi.pdf
    2.1 MB
  An improved YOLO-based road traffic monitoring system  #Traffic_Monitoring #Paper #2021 @Machine_learn
  Khazukov2020_Article_Real-timeMonitoringOfTrafficPa.pdf
    3.6 MB
  Real‑time monitoring of traffic parameters #Paper #2021 @Machine_learn
  Deep-Learning-with-PyTorch-Quick-Start-Guide (1).pdf
    6.4 MB
  Deep Learning with PyTorch Quick Start Guide 
Learn to train and deploy neural network models in Python
David Julian #Book #PyTorch @Machine_learn
  Learn to train and deploy neural network models in Python
David Julian #Book #PyTorch @Machine_learn
Distributed_Artificial_Intelligence_A_Modern_Approach_by_Satya_Prakash.pdf
    31.3 MB
  Distributed Artificial Intelligence 
A Modern Approach
Edited by
Satya Prakash Yadav, Dharmendra Prasad Mahato, and Nguyen Thi Dieu Linh #Book @Machine_learn
A Modern Approach
Edited by
Satya Prakash Yadav, Dharmendra Prasad Mahato, and Nguyen Thi Dieu Linh #Book @Machine_learn
❤1
  Machine Learning Using Python_Discover The World Of ML.pdf
    1.2 MB
  Discover the world of Machine Learning using Python 
algorithm analysis, ide and libraries. Projects focused on
beginners. #Book @Machine_learn
  algorithm analysis, ide and libraries. Projects focused on
beginners. #Book @Machine_learn
TensorFlow Model Optimization Toolkit — Collaborative Optimization API
https://blog.tensorflow.org/2021/10/Collaborative-Optimizations.html
@Machine_learn
  
  https://blog.tensorflow.org/2021/10/Collaborative-Optimizations.html
@Machine_learn
blog.tensorflow.org
  
  TensorFlow Model Optimization Toolkit — Collaborative Optimization API
  With collaborative optimization, the TensorFlow Model Optimization Toolkit can combine multiple techniques, like clustering, pruning and quantization.
  Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning
Github: https://github.com/ethz-asl/Learn-to-Calibrate
Paper: https://arxiv.org/abs/2109.14974v1
@Machine_learn
  
  Github: https://github.com/ethz-asl/Learn-to-Calibrate
Paper: https://arxiv.org/abs/2109.14974v1
@Machine_learn
GitHub
  
  GitHub - ethz-asl/Learn-to-Calibrate: We utilize deep reinforcement learning to obtain favorable trajectories for visual-inertial…
  We utilize deep reinforcement learning to obtain favorable trajectories for visual-inertial system calibration. - ethz-asl/Learn-to-Calibrate
  AlphaRotate: A Rotation Detection Benchmark using TensorFlow
Github: https://github.com/yangxue0827/RotationDetection
Paper: https://arxiv.org/abs/2109.11906v1
Dataset: https://paperswithcode.com/dataset/dota
Documentation: https://rotationdetection.readthedocs.io/en/latest/
@Machine_learn
  Github: https://github.com/yangxue0827/RotationDetection
Paper: https://arxiv.org/abs/2109.11906v1
Dataset: https://paperswithcode.com/dataset/dota
Documentation: https://rotationdetection.readthedocs.io/en/latest/
@Machine_learn