NVlabs/VILA
VILA is a family of state-of-the-art vision language models (VLMs) for diverse multimodal AI tasks across the edge, data center, and cloud.
[IEEE OJSP'2021] "RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content", Zhengzhong Tu, Xiangxu Yu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik
Appears on
Quick read
Latest capture 2026-08-08 03:04
0 paths
Agent instructions and tool configuration found in this repository.
No config files detected.
4 observed captures since 2026-06-17. Observed captures are shown by default.
Stars from first capture +1
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
VILA is a family of state-of-the-art vision language models (VLMs) for diverse multimodal AI tasks across the edge, data center, and cloud.
No description.
Open source reference implementation of ITU-T P.1204.3
One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks
VQMT: Video Quality Measurement Tool. Fast implementations of the following objective image quality metrics: PSNR, SSIM, MS-SSIM, VIFp, PSNR-HVS and PSNR-HVS-M.
An introduction to volumetric video streaming using MPEG V-PCC, which includes tutorials, code samples, and links to relevant resources.