IR
eloialonso/iris
Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.
876 92 +0/wk
GitHub
artificial-intelligence atari deep-learning machine-learning reinforcement-learning research transformers world-models
Trend
0
Star & Fork Trend (36 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
eloialonso/iris 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 | iris | awesome-6d-object | RingNet | calvin |
|---|---|---|---|---|
| Stars | 876 | 877 | 877 | 877 |
| Forks | 92 | 85 | 173 | 115 |
| Weekly Growth | +0 | -1 | +0 | +3 |
| Language | Python | N/A | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | GPL-3.0 | MIT | MIT | MIT |
Capability Radar vs awesome-6d-object
iris
awesome-6d-object
Maintenance Activity 0
Last code push 541 days ago.
Community Engagement 53
Fork-to-star ratio: 10.5%. Active community forking and contributing.
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 70
Licensed under GPL-3.0. Copyleft — check compatibility requirements.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.