MP
lucidrains/MEGABYTE-pytorch
Implementation of MEGABYTE, Predicting Million-byte Sequences with Multiscale Transformers, in Pytorch
654 55 +0/wk
GitHub
artificial-intelligence attention-mechanisms deep-learning learned-tokenization long-context transformers
Trend
0
Star & Fork Trend (42 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
lucidrains/MEGABYTE-pytorch has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | MEGABYTE-pytorch | DynamicViT | BMW-YOLOv4-Training-Automation | autonomous-learning-library |
|---|---|---|---|---|
| Stars | 654 | 654 | 655 | 655 |
| Forks | 55 | 82 | 125 | 74 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Jupyter Notebook | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | BSD-3-Clause | MIT |
Capability Radar vs DynamicViT
MEGABYTE-pytorch
DynamicViT
Maintenance Activity 0
Last code push 468 days ago.
Community Engagement 42
Fork-to-star ratio: 8.4%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.