Intro to Graph Representation Learning
The simple PyTorch implementations along with the easy explanations are good to get one started.
The following repository holds the code and link to the blogs, by Data Science Group, IIT Roorkee : https://github.com/dsgiitr/graph_nets
The simple PyTorch implementations along with the easy explanations are good to get one started.
The following repository holds the code and link to the blogs, by Data Science Group, IIT Roorkee : https://github.com/dsgiitr/graph_nets
GitHub
GitHub - dsgiitr/graph_nets: PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE…
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT. - dsgiitr/graph_nets
250,000 Cars - Top 10 Free Vehicle Image and Video Datasets for Machine Learning
https://lionbridge.ai/datasets/250000-cars-top-10-free-vehicle-image-and-video-datasets-for-machine-learning/
https://lionbridge.ai/datasets/250000-cars-top-10-free-vehicle-image-and-video-datasets-for-machine-learning/
Telusinternational
AI Image Data | TELUS International
TELUS International provides image data creation and image data annotation services for AI, computer vision (CV), and machine learning (ML) applications.
oIRL: Robust Adversarial Inverse Reinforcement Learning with Temporally Extended Actions. http://arxiv.org/abs/2002.09043
New Kaggle Competition: University of Liverpool - Ion Switching - Identify the number of channels open at each time point. Total Prize of $25,000.
https://www.kaggle.com/c/liverpool-ion-switching
https://www.kaggle.com/c/liverpool-ion-switching
Kaggle
University of Liverpool - Ion Switching
Identify the number of channels open at each time point
Memory-Based Graph Networks. http://arxiv.org/abs/2002.09518
Deep learning application idea to track COVID-2019 virus evolution by analyzing the RNA sequence between two COVID-2019 samples at different time points.
https://github.com/bionick87/2019-nCoV
https://github.com/bionick87/2019-nCoV
GitHub
GitHub - bionick87/2019-nCoV: Artificial Intelligence model for COVID-2019 analysis
Artificial Intelligence model for COVID-2019 analysis - GitHub - bionick87/2019-nCoV: Artificial Intelligence model for COVID-2019 analysis
Singularity Of The Hessian In Deep Learning | Yann LeCun, Leon Bottou, Levent Sagun | Article
https://openreview.net/references/pdf?id=rk-RP0l4g
https://openreview.net/references/pdf?id=rk-RP0l4g
PhD Research Fellowship on Machine Learning Applications in Theoretical Physics
#University_of_Oslo
#Norway
https://www.jobbnorge.no/en/available-jobs/job/182273/phd-research-fellowship-on-machine-learning-applications-in-theoretical-physics
#University_of_Oslo
#Norway
https://www.jobbnorge.no/en/available-jobs/job/182273/phd-research-fellowship-on-machine-learning-applications-in-theoretical-physics
Jobbnorge.no
PhD Research Fellowship on Machine Learning Applications in Theoretical Physics (182273) | University of Oslo
Job noscript: PhD Research Fellowship on Machine Learning Applications in Theoretical Physics (182273), Employer: University of Oslo, Deadline: The application deadline has passed
PhD Research Fellow in Machine Learning from Advanced Sensors in Autonomous Cyber-Physical Systems
#University_of_Oslo
#Norway
https://www.jobbnorge.no/en/available-jobs/job/182275/phd-research-fellow-in-machine-learning-from-advanced-sensors-in-autonomous-cyber-physical-systems
#University_of_Oslo
#Norway
https://www.jobbnorge.no/en/available-jobs/job/182275/phd-research-fellow-in-machine-learning-from-advanced-sensors-in-autonomous-cyber-physical-systems
Jobbnorge.no
PhD Research Fellow in Machine Learning from Advanced Sensors in Autonomous Cyber-Physical Systems (182275) | University of Oslo
Job noscript: PhD Research Fellow in Machine Learning from Advanced Sensors in Autonomous Cyber-Physical Systems (182275), Employer: University of Oslo, Deadline: Closed
Exploring the London Stock Exchange using Graph Networks in Neo4j — Part 1
A PRACTICAL GUIDE, USING GRAPH DATABASES, PYTHON AND DOCKER
Daniel Sharp: https://medium.com/applied-data-science/exploring-stocks-in-the-london-stock-exchange-using-graph-networks-in-neo4j-part-1-58a5455084ab
#Graph #Database #Python #Docker
A PRACTICAL GUIDE, USING GRAPH DATABASES, PYTHON AND DOCKER
Daniel Sharp: https://medium.com/applied-data-science/exploring-stocks-in-the-london-stock-exchange-using-graph-networks-in-neo4j-part-1-58a5455084ab
#Graph #Database #Python #Docker
Medium
Exploring the London Stock Exchange using Graph Networks in Neo4j — Part 1
Back in December I attended an event called ‘Network Science in Financial Service’ at the Alan Turing Institute. I found the approach of…
PhD research fellowship position in Machine Learning for Cognitive Power Supplies in IoT
#NTNU
#Norway
https://www.jobbnorge.no/en/available-jobs/job/181802/phd-research-fellowship-position-in-machine-learning-for-cognitive-power-supplies-in-iot
#NTNU
#Norway
https://www.jobbnorge.no/en/available-jobs/job/181802/phd-research-fellowship-position-in-machine-learning-for-cognitive-power-supplies-in-iot
Jobbnorge.no
PhD research fellowship position in Machine Learning for Cognitive Power Supplies in IoT (181802) | NTNU - Norwegian University…
Job noscript: PhD research fellowship position in Machine Learning for Cognitive Power Supplies in IoT (181802), Employer: NTNU - Norwegian University of Science and Technology, Deadline: Closed
Stochastic Normalizing Flows. http://arxiv.org/abs/2002.09547
Self-Supervised Poisson-Gaussian Denoising. http://arxiv.org/abs/2002.09558
Particle Filter Based Monocular Human Tracking with a 3D Cardbox Model and a Novel Determ... http://arxiv.org/abs/2002.09554
Stochastic Normalizing Flows. http://arxiv.org/abs/2002.09547