Rank #392 · on radar since 2026-07-03
CASCADE
CASCADE is a principled solution to deployment-time learning, which is built on top of the principle of case-based reasoning and utilizes the contextual bandit algorithm to accumulate cases and optimise case retrieval policy over deployment steps.
Visit homepage ↗experiential-learningcase-based-reasoningdeployment-time-learningcontextual-bandits+2
Momentum
42.2
24h–7d–
Why it's ranked
Every score decomposes into published factors — the same math for every tool, paid or not. Read the methodology →
| Velocity (weighted, cohort-normalized) | 0.438 |
| Signal decay | 0.995 |
| Corroboration | 1.000 |
| Quality gate | 1.000 |
Raw signals (30 days)
github · forks0 latest · 2 snapshots
github · stars8 latest · 2 snapshots