Results for “adaptive-rate-limiting”

16 skills
jiachen-t-wang
lora-low-rank-adaptation-of-large-language-models-arxiv-2106
LoRA: Low-Rank Adaptation of Large Language Models
6
smith6jt-cop
adaptive-predator-prey
Use when tuning predator-prey dynamics, regime detection coefficients, or cooldown mechanisms
3
dracounion
asymmetric-betting
当需要在众多机会中筛选出投入产出比最高的选项,以最小化风险并最大化潜在回报时
11 · bundle
github
acreadiness-policy
Create, apply, and manage AgentRC policies to customize readiness scoring, disable checks, override impact levels, set pass-rate thresholds, and enforce CI gating.
36.2k
curiositech
alphago-deep-rl
Strategic patterns for solving intractable problems through cascading approximation, self-improvement, and heterogeneous evaluation from DeepMind's AlphaGo system
10 · bundle
saranskumar
access-control-planner
Use this when the team needs to define permissions, roles, membership rules, resource ownership, or action-level authorization separate from authentication choice. Trigger on requests about access models, RBAC, ABAC, tenancy, or protected operations.
0
phoroth
moyu
Keeps AI coding agents tightly scoped by enforcing minimal changes, simplest solutions, and asking before expanding scope or adding dependencies.
3
lingxling
moyu
Keeps AI coding agents tightly scoped by enforcing minimal changes, simplest solutions, and asking before expanding scope.
253
bytesagain
atr-average-true-range-volatility-meter
Use when measuring volatility with ATR, setting ATR-based stop-losses, calculating position sizes by risk tolerance, or comparing volatility across timeframes.
12 · bundle
smith6jt-cop
differential-sharpe-ratio
Use when implementing risk-adjusted rewards, discussing Sharpe ratio in RL training, or tuning reward components for risk awareness
3
nimoqup046-collab
moyu
Keeps AI coding agents tightly scoped by enforcing minimal changes, simplest solutions, and asking before expanding scope.
2
jiachen-t-wang
autoaugment-learning-augmentation-strategies-from-data-arxiv
AutoAugment: Learning Augmentation Strategies from Data
6
smith6jt-cop
reward-function-v330
Use when tuning RL reward function weights, fixing reward hacking, or addressing P&L gradient issues
3
matlab
matlab-design-adaptive-filter
Design and implement adaptive filters using DSP System Toolbox System objects. Use when working with adaptive filtering, system identification, noise cancellation, echo cancellation, active noise control (ANC), channel equalization, inverse system identification, or adaptive prediction. Covers dsp.LMSFilter, dsp.RLSFilter, dsp.FilteredXLMSFilter, dsp.FrequencyDomainAdaptiveFilter, dsp.AffineProjectionFilter, dsp.BlockLMSFilter, dsp.AdaptiveLatticeFilter, dsp.FastTransversalFilter, maxstep(), and algorithm selection for adaptive filtering problems. Replaces deprecated adaptfilt.* objects (removed R2020a).
920 · bundle
oxoyo
agak-rule
Rule (agak-rule)
1 · bundle
sickn33
ai-loop
Runs a bounded spec-build-review development loop with explicit scope, stop conditions, and human approval gates for risky or ambiguous work.
45.1k