MrYxJ/calculate-flops.pytorch
The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)
Star & Fork Trend (28 data points)
Multi-Source Signals
Growth Velocity
MrYxJ/calculate-flops.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 | calculate-flops.pytorch | PotPlayer_ChatGPT_Translate | awesome-sentiment-analysis | StarryDivineSky |
|---|---|---|---|---|
| Stars | 931 | 931 | 930 | 927 |
| Forks | 40 | 63 | 162 | 143 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | C++ | N/A | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | GPL-3.0 | CC-BY-SA-4.0 | NOASSERTION |
Capability Radar vs PotPlayer_ChatGPT_Translate
Last code push 650 days ago.
Fork-to-star ratio: 4.3%. Lower fork ratio may indicate passive usage.
Issue data not yet available.
No measurable growth in the current period (first-day cold start expected).
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.