Skill Claude CodeCodex
Encode text prompts into fixed-length dense vectors using SentenceTransformer for cosine-similarity evaluation in image-to-text retrieval tasks.
Skill Claude CodeCodex
Encode text prompts into fixed-length dense vectors using SentenceTransformer for cosine-similarity evaluation in image-to-text retrieval tasks.
Skill Claude CodeCodex
2D CNN with asymmetric kernels — temporal convolutions (Nx1) then spectral convolutions (1xM) — to decouple time and feature extraction.
Skill Claude CodeCodex
Track dice score separately for positive (mask-present) and negative (empty-mask) images to avoid division distortion.
Skill Claude CodeCodex
Siamese network head that compares two embeddings via element-wise multiply, add, abs-diff, and squared-diff features for verification tasks.
Skill Claude CodeCodex
Sigmoid-transformed normalized RMSE that maps error from [0,inf) to a bounded (0,1] similarity score using R2-score ratio.
Skill Claude CodeCodex
Resample a 3D medical volume to a fixed depth N (e.g. 32) and feed the N slices as input channels to a 2D CNN with inchans=N instead of using a 3D conv backbone — gets the volumetric context for a fraction of the memory and lets you use any timm 2D pretrained model.
Skill Claude CodeCodex
Encode the empirical per-position event rate as a soft prior over slice index by binning normalized slice location and looking up a precomputed weight vector — adds class-aware spatial context to a per-slice classifier without changing the model.
Skill Claude CodeCodex
Pad 3D volumes with fewer slices than required by duplicating existing slices with slight brightness variation via convertScaleAbs.
Skill Claude CodeCodex
Encode game state as a Super Mini Map (SMM) with separate binary channels for players, ball, and ownership, bit-packed for efficient transfer in RL training.
Skill Claude CodeCodex
Cyclic cosine annealing LR that produces M diverse snapshots from a single training run for free ensembling.
Skill Claude CodeCodex
Aggregate patch-level count-regression predictions into image-level totals by multiplying each prediction by a boolean mask (x (x > tau)) instead of rounding, retaining fractional evidence above threshold while killing background noise.
Skill Claude CodeCodex
Turn sparse single-frame event labels (impacts, collisions, goals) into a usable detector training set by stamping the positive label onto a ±k-frame window around each event, then dropping any frame that contains no positives — gives the detector enough positive samples without changing the original annotation.
Skill Claude CodeCodex
Split large-image segmentation data into train/val by spatial rectangle regions with border buffer exclusion to prevent patch leakage.
Skill Claude CodeCodex
Compute normalized spectral band ratios (NDWI, CCCI, NDVI) from multispectral imagery and threshold for binary segmentation of water, vegetation, or other targets.
Skill Claude CodeCodex
Keras callback implementing Stochastic Weight Averaging (SWA) — running mean of model weights over final training epochs.
Skill Claude CodeCodex
Stratifies cross-validation folds by output sequence length to ensure balanced length distributions across train/val splits.
Skill Claude CodeCodex
Normalize raw stroke coordinates to 0-255 range, resample at uniform arc-length spacing, then apply Ramer-Douglas-Peucker simplification.
Skill Claude CodeCodex
Render stroke sequences to grayscale images with temporal intensity encoding where earlier strokes are brighter and later strokes fade to encode drawing order.
Skill Claude CodeCodex
Serialize structured ground truth (chart data, table rows, form fields) as special-token-delimited sequences for generative vision-language model training.
Skill Claude CodeCodex
Add random temporal offset to the center frame during training to augment temporal diversity in video-based models.
Skill Claude CodeCodex
Pad batch sequence lengths to multiples of 8 for efficient tensor core utilization on GPUs, with -100 masking for label padding.
Skill Claude CodeCodex
Compiles a PyTorch model to a TensorRT FP16 engine via torchtensorrt for 2-5x inference speedup, saved as reusable TorchScript.
Skill Claude CodeCodex
Applies geometric and color augmentations at inference time and averages predictions to reduce variance.
Skill Claude CodeCodex
Assembles N extracted tiles into a sqrt(N) x sqrt(N) mosaic image for single-forward-pass CNN inference on whole slide images.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: