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- Spell Correction PreprocessingApplies domain-aware spelling correction before transformer input to separate spelling errors from content quality.Votes: 0GitHub stars: 61
- Spatial Dropout EmbeddingDrop entire embedding channels consistently across all timesteps — preserves temporal structure better than element-wise dropoutVotes: 0GitHub stars: 61
- Prompt Text ConcatenationPrepends prompt question or full prompt text to input with SEP token for context-aware text evaluation.Votes: 0GitHub stars: 61
- Pairwise Margin Ranking LossTrains a transformer with MarginRankingLoss on text pairs (more/less toxic), learning to rank rather than classify when only pairwise preference labels are available.Votes: 0GitHub stars: 61
- Neutral Short Text FallbackOverride model span predictions with full text for neutral sentiment or very short inputs where sub-span extraction is unreliableVotes: 0GitHub stars: 61
- Multisample DropoutApplies multiple dropout masks to the same hidden state and averages predictions for regularization and variance reduction.Votes: 0GitHub stars: 61
- Multi Temperature Candidate SamplingGenerate diverse translation candidates by running nucleus sampling at multiple temperatures then pooling for MBR selectionVotes: 0GitHub stars: 61
- Multi Metric String SimilarityComputes multiple complementary string similarity scores (Gestalt, Levenshtein, Jaro-Winkler, LCS) per field pair as features for entity matching classifiers.Votes: 0GitHub stars: 61
- Mbr Decoding RerankingMinimum Bayes Risk decoding — select the candidate with highest average chrF++ agreement against all others in the poolVotes: 0GitHub stars: 61
- Learned Attention PoolingReplace mean pooling with a trainable attention network (Linear-Tanh-Linear-Softmax) that learns token importance weights over transformer hidden statesVotes: 0GitHub stars: 61
- Lda Topic ModelingLatent Dirichlet Allocation on CountVectorizer bag-of-words to discover latent topics with per-document topic distributions for feature engineering or EDAVotes: 0GitHub stars: 61
- Last Hidden States ConcatConcatenate the last two transformer hidden states along the feature dimension before the task head for richer token representationsVotes: 0GitHub stars: 61
- Jaccard Dedup Prediction FilterDeduplicates extracted entity predictions by filtering out candidates whose Jaccard word-overlap with already-accepted labels exceeds a threshold.Votes: 0GitHub stars: 61
- Identity Weighted Bce LossWeight BCE loss by identity subgroup membership to debias predictions — upweight samples where identity conflicts with labelVotes: 0GitHub stars: 61
- Hierarchical Label EncodingConcatenate multi-level categorical fields into a compound label (Category:Subcategory) for flat multiclass classificationVotes: 0GitHub stars: 61
- Head Tail TruncationPreserves both the start and end of long text sequences when truncating for transformer input limits.Votes: 0GitHub stars: 61
- Dropout Disabled InferenceExplicitly zero all dropout probabilities in transformer config at load time for fully deterministic inferenceVotes: 0GitHub stars: 61
- Cyclical Lr TriangularCyclical learning rate (CLR) Keras callback that oscillates LR between base and max each batch for faster convergenceVotes: 0GitHub stars: 61
- Cp1252 Utf8 Encoding NormalizationResolves mixed cp1252/utf-8 encoding artifacts in text via round-trip encode/decode with custom error handlers and unidecode normalization.Votes: 0GitHub stars: 61
- Chrf Bleu Geometric Mean MetricGeometric mean of chrF and BLEU as a balanced composite translation evaluation metricVotes: 0GitHub stars: 61
- Bucket Batching Seq2seqGroup variable-length sequences into length-sorted buckets before batching to minimize padding waste during seq2seq inferenceVotes: 0GitHub stars: 61
- Bpe Offset Char AlignmentReconstruct character-level offsets for BPE tokens by decoding each token individually and accumulating lengths for precise span mappingVotes: 0GitHub stars: 61
- Bias Aware Auc MetricCombine subgroup AUC, BPSN AUC, and BNSP AUC across identity groups via power-mean weighting with overall AUC for fairness evaluationVotes: 0GitHub stars: 61
- Auxiliary Target MultitaskTrain main target alongside auxiliary sub-type targets as multiple output heads to regularize and improve generalizationVotes: 0GitHub stars: 61