MT
lucidrains/memorizing-transformers-pytorch
Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch
642 47 +0/wk
GitHub
approximate-nearest-neighbors artificial-intelligence attention-mechanism deep-learning memory retrieval transformers
Trend
3
Star & Fork Trend (44 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
lucidrains/memorizing-transformers-pytorch has +0 stars this period . 7-day velocity: 0.2%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | memorizing-transformers-pytorch | RLzoo | NeuralDialogPapers | euclidesdb |
|---|---|---|---|---|
| Stars | 642 | 641 | 643 | 640 |
| Forks | 47 | 97 | 133 | 30 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | N/A | C++ |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | N/A | NOASSERTION |
Capability Radar vs RLzoo
memorizing-transformers-pytorch
RLzoo
Maintenance Activity 0
Last code push 997 days ago.
Community Engagement 37
Fork-to-star ratio: 7.3%. 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.