flink-extended/dl-on-flink
Deep Learning on Flink aims to integrate Flink and deep learning frameworks (e.g. TensorFlow, PyTorch, etc) to enable distributed deep learning training and inference on a Flink cluster.
Star & Fork Trend (17 data points)
Multi-Source Signals
Growth Velocity
flink-extended/dl-on-flink has +0 stars this period . Velocity data will be available after more historical data is collected.
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Signal-backed technical analysis will be available soon.
| Metric | dl-on-flink | reinforcement-learning-algorithms | geospatial-machine-learning | mario-ai |
|---|---|---|---|---|
| Stars | 694 | 694 | 694 | 695 |
| Forks | 197 | 110 | 164 | 142 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Java | Python | N/A | Lua |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | N/A | MIT | MIT |
Capability Radar vs reinforcement-learning-algorithms
Last code push 512 days ago.
Fork-to-star ratio: 28.4%. Active community forking and contributing.
Issue data not yet available.
No measurable growth in the current period (first-day cold start expected).
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.