ADLRG – Graph Neural Networks – 2
TrAC ADLRG Mini-course on Graph Neural Networks (class 2/4) In this mini-course, we will cover concepts in Graph Neural Networks.
TrAC ADLRG Mini-course on Graph Neural Networks (class 2/4) In this mini-course, we will cover concepts in Graph Neural Networks.
Title: Enhancing Multi-Camera People Tracking with Anchor-Guided Clustering and Spatio-Temporal Consistency ID Re-Assignment Link: Enhancing Multi-Camera People Tracking With Anchor-Guided Clustering and Spatio-Temporal Consistency ID Re-Assignment (thecvf.com)
Register here: https://forms.gle/UZguwpraVBpxww5N9
.stk-nq2yw08 .stk-block-heading__text{font-size:48px !important;font-weight:700 !important;text-transform:uppercase !important;font-family:"Poppins",Sans-serif !important}@media screen and (max-width:1023px){.stk-nq2yw08 .stk-block-heading__text{font-size:48px !important}}AI-Ag TrAC-a-thon 2024 is our very first Translational-AI hackathon .stk-f6ojwdb .stk-block-heading__text{font-weight:700 !important;text-transform:uppercase !important;font-family:"Poppins",Sans-serif !important}About TrAC's Hackathon with a theme of […]
TrAC DLRG Mini-course on Mastering Tensorflow (class 1/3) In this mini-course, we will cover programming for deep learning and accelerated computing using Tensorflow. This is a series of 3 lectures […]
TrAC ADLRG Mini-course on Graph Neural Networks (class 3/4) In this mini-course, we will cover concepts in Graph Neural Networks.
The Richard and Carol Pletcher Seminar Series and TrAC host Lucy Zhang Title: Non-intrusive Coupling Strategies for Multiphysics Simulations Abstract In this talk, I will discuss computational strategies for multiphysics […]
TrAC ADLRG Mini-course on Graph Neural Networks (class 4/4) In this mini-course, we will cover concepts in Graph Neural Networks.
TrAC DLRG Mini-course on Mastering Tensorflow (class 2/3) In this mini-course, we will cover programming for deep learning and accelerated computing using Tensorflow. This is a series of 3 lectures […]
Title: Nonlocal Operator Learning is All You Need Abstract During the last 20 years there has been a lot of progress in applying neural networks (NNs) to many machine learning […]