Business & Operations

Operations, strategy, finance, sales, support, management, and planning

skills in category: 35,228
pages available: 1,468

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Browse business & operations skills

Showing 11,545–11,568 of 35,228 skills

Density To Count RoundtripAConvert a density metric back to integer counts using known population, round to nearest integer, then recompute density to exploit the discrete nature of the targetbusinesspythonapiVotes: 0GitHub stars: 61
Time Varying Reward ShapingAShape RL rewards with time-decaying asset weights and time-increasing resource weights so the agent transitions from expansion to accumulation as the game progressesbusinesspythonapiVotes: 0GitHub stars: 61
Tabpfn Small Dataset EnsembleAEnsembles TabPFN (a prior-fitted Bayesian transformer for small tabular data) with XGBoost, averaging probabilities for stronger predictions on datasets under 1000 rows.businesspythongoVotes: 0GitHub stars: 61
Smiles Randomization AugmentationAAugments molecular datasets by generating multiple randomized SMILES strings for the same molecule, exploiting SMILES non-uniqueness to multiply training samples.businesspythonVotes: 0GitHub stars: 61
Simulated Annealing Multi OperatorASimulated annealing with diverse move operators (translate, rotate, swap, Levy flight, squeeze) and adaptive reheating on stagnation for combinatorial optimizationbusinesspythonVotes: 0GitHub stars: 61
Predicted Class Mass ReweightingAPost-hoc rescales ensemble probabilities by the inverse of each class's estimated total mass across the test set, correcting for class imbalance in predictions.businesspythonVotes: 0GitHub stars: 61
Polynomial Interaction FeaturesAGenerates polynomial powers and interaction terms from selected numeric features to capture nonlinear relationships with the target.businesspythonVotes: 0GitHub stars: 61
Oof Meta FeaturesAGenerates out-of-fold predictions from auxiliary models and uses them as input features for the final model.businesspythongoVotes: 0GitHub stars: 61
Ngram Composite FeaturesACreates bi-gram and tri-gram composite categorical features by concatenating top categorical columns, then target-encodes the composites. Captures interaction effects that tree models may miss.businesspythongoVotes: 0GitHub stars: 61
Multi Output Auxiliary TargetsANeural network with multiple output heads for main target plus auxiliary targets, improving representation learning via shared layers.businesspythongoVotes: 0GitHub stars: 61
Gnn On Knn GraphAConstructs a customer similarity graph via KNN on mixed features, then trains a GraphSAGE GNN for node classification. Captures relational patterns that tree and linear models miss, adding ensemble diversity.businesspythongoVotes: 0GitHub stars: 61
Onnx Mixed Precision ExportAExports a HuggingFace transformer to ONNX with dynamic axes, then auto-converts to BF16 mixed precision for 30-200% GPU inference speedup with 2x memory reduction.businesspythongitVotes: 0GitHub stars: 61
Mean Max Concat PoolingAConcatenates token-level mean pooling and max pooling from the last hidden state for a richer sequence representation.businesspythongitVotes: 0GitHub stars: 61
Bio Tag Span ReconstructionAReconstructs named entity spans from BIO token-level tags, handling B/I/O transitions and sentence boundaries.businesspythonVotes: 0GitHub stars: 61
Sentence Truncation FallbackATruncate LLM output to exactly N sentences and fall back to a known-good baseline string when output is empty or too shortbusinesspythongoVotes: 0GitHub stars: 61
Score Variance Baseline MixinAMix a small fraction of plain baseline responses into an adversarial submission to preserve cross-row score variancebusinesspythonVotes: 0GitHub stars: 61
Greedy Word Reinsert SearchAGreedy local search that removes one element from a fixed position and re-inserts it at every possible index, keeping the best improvement per roundbusinesspythonVotes: 0GitHub stars: 61
Binary Search Entity NarrowingAHierarchical binary search over entity space by asking category, region, then first-letter questions to narrow candidates before guessingbusinesspythongoVotes: 0GitHub stars: 61
Adaptive Time Budget InferenceADynamically reduce max_tokens and batch size as wall-clock time approaches a cutoff to ensure all inputs get processedbusinesspythonapiVotes: 0GitHub stars: 61
Vqa Yes No Logit ScoringAExtracts calibrated yes/no probabilities from a VQA model by masking all logits except yes/no token variants and renormalizing via softmax.businesspythongitVotes: 0GitHub stars: 61
Tile Grid Mosaic AssemblyAAssembles N extracted tiles into a sqrt(N) x sqrt(N) mosaic image for single-forward-pass CNN inference on whole slide images.businesspythonVotes: 0GitHub stars: 61
Stroke Normalize Simplify PipelineANormalize raw stroke coordinates to 0-255 range, resample at uniform arc-length spacing, then apply Ramer-Douglas-Peucker simplificationbusinesspythonperformanceVotes: 0GitHub stars: 61
Rotation Tta SegmentationATest-time augmentation via 4 rotation angles (0/90/180/270), applying inverse rotation to each prediction before averagingbusinesspythongitVotes: 0GitHub stars: 61
Per Organ Multihead Sigmoid SoftmaxASingle CNN backbone with one shallow Dense neck per organ and mixed sigmoid (binary) + softmax (multi-class severity) heads, trained with a dict of losses so each organ is calibrated independently while sharing visual featuresbusinesspythongoVotes: 0GitHub stars: 61