DP
dsgiitr/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
4.3k 1.2k +1/wk
GitHub
book computer-vision d2l data-science deep-learning dive-into-deep-learning mxnet nlp pytorch pytorch-implmention
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Star & Fork Trend (30 data points)
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dsgiitr/d2l-pytorch has +1 stars this period . 7-day velocity: -0.0%.
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| Metric | d2l-pytorch | Tensorflow-Tutorial | awesome-RLHF | serve |
|---|---|---|---|---|
| Stars | 4.3k | 4.3k | 4.3k | 4.4k |
| Forks | 1.2k | 1.8k | 252 | 886 |
| Weekly Growth | +1 | +0 | +0 | +0 |
| Language | Jupyter Notebook | Python | N/A | Java |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | Apache-2.0 | Apache-2.0 |
Capability Radar vs Tensorflow-Tutorial
d2l-pytorch
Tensorflow-Tutorial
Maintenance Activity 0
Last code push 622 days ago.
Community Engagement 100
Fork-to-star ratio: 28.5%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 41
+1 stars this period — 0.02% growth rate.
License Clarity 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.