SG
super-gradients
Computer Vision·infrastructure·open·#678 of 884·+57·Rising
63.7
Low
High confidence
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
Pillar Breakdown
Adoption
35%
64.6
Maintenance
30%
60.8
Friction
20%
97.1
Ecosystem
15%
40.4
Momentum
0.51Rising
7d change -0.27
High confidenceIn Computer Vision
Ranked #19 of 23