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Programming, frameworks, implementation, frontend, backend, and app development
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Showing 19,705–19,728 of 70,058 skills
- Attention Head PoolingLearns attention weights over token positions to compute a weighted average of hidden states for sequence representation.Votes: 0GitHub stars: 61
- Structured Output SanitizationParses LLM-generated markup (SVG, HTML, XML) with lxml, strips disallowed elements and attributes via an allowlist, and validates structural constraints like path data.Votes: 0GitHub stars: 61
- Prompt Variant EnsembleGenerate multiple LLM responses using diverse system prompt variants to increase reasoning diversity for self-consistency votingVotes: 0GitHub stars: 61
- Perplexity Prompt RankingRank candidate prompts by computing LLM perplexity of the full conversation conditioned on each prompt, selecting the lowest-perplexity candidate as the best matchVotes: 0GitHub stars: 61
- Lora Sequence ClassificationLoad a pretrained LLM with LoRA adapter via PEFT for memory-efficient fine-tuned sequence classificationVotes: 0GitHub stars: 61
- Last Token Logit Binary ScoringScore a binary classification prompt by reading the logits of the True/False (or Yes/No) token IDs at the final position and softmaxing only those two values, skipping generation entirely for a 10-50x speedup over decodingVotes: 0GitHub stars: 61
- Inverse Task Prompt TemplateStructured prompt template for recovering the instruction that transformed one text into another, with labeled original/rewritten fields and explicit task framingVotes: 0GitHub stars: 61
- Code Execution Weighted VoteExecute Python code blocks from LLM math responses in a sandbox, then double-weight code-derived answers in majority votingVotes: 0GitHub stars: 61
- Video Frame Sampling PipelineEfficiently sample N evenly-spaced frames from a video using OpenCV grab/retrieve pattern with optional resize for batch face detection or classificationVotes: 0GitHub stars: 61
- Two Stage Bce Then LovaszTrain segmentation with BCE loss first for stable convergence, then fine-tune with Lovasz-hinge on raw logits for IoU-optimal predictionsVotes: 0GitHub stars: 61
- Tversky LossTversky loss with independent alpha/beta constants to separately penalize false positives and false negatives in imbalanced segmentation.Votes: 0GitHub stars: 61
- Tumor Volume Ratio FeaturesExtract volumetric features from 3D segmentation masks including scan/tumor pixel ratios, tumor percentage, and tumor centroid coordinatesVotes: 0GitHub stars: 61
- Tissue Content Tile SelectionSelects the top-N most informative tiles from a gigapixel whole slide image by ranking on pixel intensity sum, keeping tiles with the most tissue content.Votes: 0GitHub stars: 61
- Stroke Temporal Color RenderingRender stroke sequences to grayscale images with temporal intensity encoding where earlier strokes are brighter and later strokes fade to encode drawing orderVotes: 0GitHub stars: 61
- Stratified Fold By Sequence LengthStratifies cross-validation folds by output sequence length to ensure balanced length distributions across train/val splits.Votes: 0GitHub stars: 61
- Spectral Index SegmentationCompute normalized spectral band ratios (NDWI, CCCI, NDVI) from multispectral imagery and threshold for binary segmentation of water, vegetation, or other targetsVotes: 0GitHub stars: 61
- Separable Temporal Spectral Cnn2D CNN with asymmetric kernels — temporal convolutions (Nx1) then spectral convolutions (1xM) — to decouple time and feature extractionVotes: 0GitHub stars: 61
- Semi Supervised Pretrained BackboneUses Facebook's semi-weakly supervised ImageNet-pretrained models (trained on 940M unlabeled images) as CNN backbones for stronger transfer learning than standard supervised pretraining.Votes: 0GitHub stars: 61
- Numeric Categorical Auto DetectionAuto-detect whether a generated data series is numeric or categorical by measuring the fraction of digit characters in the concatenated valuesVotes: 0GitHub stars: 61
- Morphological Lung SegmentationSegment lung regions from CT using HU thresholding, connected-component labeling, and morphological openingVotes: 0GitHub stars: 61
- Middle Mip Std Volume ProjectionCompress a 3D medical volume into a 3-channel 2D image by stacking the middle slice, the max-intensity projection across depth, and the per-pixel std across depth — a poor-man's volumetric encoding that lets any pretrained 3-channel 2D CNN ingest a whole series in a single forward passVotes: 0GitHub stars: 61
- Isotropic Resize With PaddingResize images preserving aspect ratio then zero-pad to a square to avoid distortion artifacts in face crops or object detection inputsVotes: 0GitHub stars: 61
- Gem PoolingReplaces global average pooling with Generalized Mean (GeM) pooling, using a learnable or fixed exponent to emphasize high-activation regions.Votes: 0GitHub stars: 61
- Gaussian Sphere Target GenerationGenerates 3D segmentation training targets by placing Gaussian spheres at annotated point coordinates.Votes: 0GitHub stars: 61