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Tools & Automation
CLI tools, utilities, converters, workflow automation, and productivity helpers
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- Airtable CliLists bases, reads and writes records, manages tables and fields, filters and searches data in Airtable via the `airtable-mcp` CLI. Use when the task involves Airtable data or the user mentions airtable-mcp, bases, tables, records, or fields.Votes: 0GitHub stars: 8
- AgentcoreRun agent-browser on AWS Bedrock AgentCore cloud browsers. Use when the user wants to use AgentCore, run browser automation on AWS, use a cloud browser with AWS credentials, or needs a managed browser session backed by AWS infrastructure. Triggers include "use agentcore", "run on AWS", "cloud browser with AWS", "bedrock browser", "agentcore session", or any task requiring AWS-hosted browser automation.Votes: 0GitHub stars: 8
- Prediction Smoothing LpfApplies rolling mean or Butterworth low-pass filter to model predictions for temporal consistency and noise reduction.Votes: 0GitHub stars: 61
- Multi Gap Lag Diff FeaturesGenerate shift/diff features at multiple lag sizes (1,2,3,5,10,20,50,100) over cursor/time/state series, then aggregate statistics per sessionVotes: 0GitHub stars: 61
- Event Anchored Frame SyncAlign low-Hz sensor data to high-fps video by anchoring a named event (e.g. ball_snap) to a known frame index and converting time offsets via fpsVotes: 0GitHub stars: 61
- Weighted Position Decay EnsembleEnsembles multiple ranked recommendation lists by scoring items as model_weight / position_rank, then re-ranking.Votes: 0GitHub stars: 61
- Squeeze Compact Local SearchThree-stage packing refinement — uniform squeeze toward centroid, greedy compaction per object, then multi-directional local search — to tighten solutions after metaheuristic optimizationVotes: 0GitHub stars: 61
- Phase Based Strategy CyclingDivide a game into repeating phases (attack, mine, spawn) with turn-modular gating so the agent cycles between aggressive and economic behaviorVotes: 0GitHub stars: 61
- Pairwise Te Logit StackingGenerates all C(n,2) pairwise feature combinations, target-encodes each pair with cuML TargetEncoder, then applies logit polynomial expansion (z, z^2, z^3) for stacking with cuML LogisticRegression.Votes: 0GitHub stars: 61
- Multi Source Candidate FusionFuse recommendation candidates from user history, multiple co-visitation matrices, and global popularity in a priority-ordered cascadeVotes: 0GitHub stars: 61
- Implicit Als Collaborative FilteringAlternating Least Squares matrix factorization on sparse user-item interaction matrices for implicit feedback recommendations.Votes: 0GitHub stars: 61
- Confidence Probability ClippingHard-clips predicted probabilities to 0 or 1 when they exceed high-confidence thresholds, reducing log loss on near-certain predictions.Votes: 0GitHub stars: 61
- Chained Target PredictionPredict correlated targets sequentially, using earlier target predictions as input features for subsequent targets to exploit inter-target dependenciesVotes: 0GitHub stars: 61
- Balanced Log LossClass-balanced log loss that weights each class by the inverse of its sample count, equalizing the contribution of minority and majority classes.Votes: 0GitHub stars: 61
- Test Vocabulary AlignmentFits TF-IDF vectorizer on test set first to extract vocabulary, then retrains on train set using that vocabulary for feature consistency.Votes: 0GitHub stars: 61
- Spearman Correlation CallbackCustom Keras callback that evaluates Spearman correlation on validation data each epoch with optional early stopping.Votes: 0GitHub stars: 61
- Space Aware Span PostprocessingClean up character-level span predictions by removing isolated space characters at span boundariesVotes: 0GitHub stars: 61
- Source Balanced Stratified FoldStratifies CV folds by both target label AND data source to prevent source-specific bias in each fold.Votes: 0GitHub stars: 61
- Short To Long Span PromotionPromotes a predicted short answer span to its enclosing long-answer candidate by matching token boundaries against pre-extracted document structure.Votes: 0GitHub stars: 61
- Regex Hybrid Ner FallbackSupplements transformer NER predictions with regex-based detection for structured entities (email, phone, URL), aligning regex matches back to token indices via subsequence search.Votes: 0GitHub stars: 61
- Quantized Probability StorageStores model softmax probabilities as uint8 (0-255) to reduce RAM by 4x during multi-model ensemble inference.Votes: 0GitHub stars: 61
- O Class Threshold SuppressionThresholds the O-class (non-entity) softmax probability in NER: if below threshold, overrides with the best non-O class to boost entity recall.Votes: 0GitHub stars: 61
- Lstm Over Transformer LayersFeeds CLS token embeddings from each transformer layer into a BiLSTM to learn an optimal combination across layer depth.Votes: 0GitHub stars: 61
- Japanese Transliteration NormalizationConverts Japanese scripts (Hiragana, Katakana, Kanji) to romanized ASCII using pykakasi for cross-script entity matching.Votes: 0GitHub stars: 61