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
1901.06032.pdf
1.5 MB
A Survey of the Recent Architectures of Deep Convolutional Neural Networks #CNN #Paper #Survey @Machine_learn
2004.15004.pdf
8.4 MB
CNN EXPLAINER: Learning Convolutional Neural Networks with Interactive Visualization #CNN #book #Introduction #DL @Machine_learn
2004.02806.pdf
3.7 MB
A Survey of Convolutional Neural Networks:
Analysis, Applications, and Prospects #CNN #Paper #Survey @Machine_learn
Analysis, Applications, and Prospects #CNN #Paper #Survey @Machine_learn
s40537-021-00444-8.pdf
7.3 MB
Review of deep learning: concepts, CNN
architectures, challenges, applications, future
directions #CNN #Survey #Paper @Machine_learn
architectures, challenges, applications, future
directions #CNN #Survey #Paper @Machine_learn