SG
super-gradients
Computer Vision·infrastructure·open·#685 of 944·+4·Rising
64.5
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%
65.7
Maintenance
30%
61.7
Friction
20%
98.3
Ecosystem
15%
40.3
Momentum
0.72Rising
7d change +0.05
High confidenceIn Computer Vision
Ranked #19 of 23