Skill Claude CodeCodex
Manual stable diffusion inference loop with classifier-free guidance that interpolates between unconditional and conditional noise predictions for controllable image generation.
Skill Claude CodeCodex
Uses a binary classifier's probability to gate object detector outputs in three tiers: keep detections, append a no-finding box, or replace all detections.
Skill Claude CodeCodex
Scores image aesthetic quality by passing L2-normalized CLIP ViT-L/14 embeddings through a trained MLP regressor head.
Skill Claude CodeCodex
Generate descriptive text prompts from images by combining BLIP captioning with CLIP cosine similarity against curated label banks for medium, movement, and flavor attributes.
Skill Claude CodeCodex
Strips the global pool and FC head from a pretrained CNN to expose spatial feature maps (H x W x C) for attention-based decoding.
Skill Claude CodeCodex
Fuse CNN image features with a small tabular MLP branch via concat before a final classifier, training both branches end-to-end.
Skill Claude CodeCodex
Extract per-frame CNN features then classify the temporal sequence with stacked GRU layers and a boolean mask for variable-length video inputs.
Skill Claude CodeCodex
Convert per-instance RLE or polygon annotations to COCO JSON format for seamless use with Detectron2 and MMDetection.
Skill Claude CodeCodex
Match two unequal-length point sets by enumerating which points to drop from the longer set, searching over deletion combinations.
Skill Claude CodeCodex
Passes N tiles independently through a shared CNN backbone, concatenates their feature maps spatially, then pools for classification — a lightweight multi-instance learning approach.
Skill Claude CodeCodex
Assigns multiple labels per sample using a confidence threshold on sigmoid outputs with a fallback negative class.
Skill Claude CodeCodex
Extracts object centers from 3D segmentation masks using connected-component labeling and centroid computation.
Skill Claude CodeCodex
Stack 1D convolutions for local feature extraction before bidirectional LSTMs to classify variable-length stroke sequences into hundreds of doodle categories.
Skill Claude CodeCodex
Stratify train/validation split by binned mask coverage percentage to ensure balanced foreground representation in segmentation tasks.
Skill Claude CodeCodex
Drop false-positive detections by requiring matched per-frame box counts across paired synchronized camera views (Endzone vs Sideline) — if both views see the same scene at the same instant, true events should appear in both.
Skill Claude CodeCodex
Detect inverted CT slice ordering by comparing ImagePositionPatient[2] (the Z coordinate) of the first and last DICOM slice in a series, flipping the volume along axis 0 when needed so every patient ends up in canonical head→feet order.
Skill Claude CodeCodex
Add a cumulative sum channel along the vertical axis to capture directional structural trends in grayscale images for segmentation.
Skill Claude CodeCodex
Fuses 3D object detections from multiple models by clustering nearby predictions with DBSCAN and taking cluster centroids.
Skill Claude CodeCodex
Run DeepSort on per-frame detections then overwrite each track cluster's label with the most common mapped label across the track's lifetime.
Skill Claude CodeCodex
Custom Detectron2 data mapper with photometric augmentations that properly transforms images, bounding boxes, and instance masks in sync.
Skill Claude CodeCodex
Partition a large dataset into N balanced shards using integer key modulo arithmetic for reproducible, class-interleaved splits across CSV files.
Skill Claude CodeCodex
Dice coefficient loss for pixel-level segmentation that directly optimizes the overlap between predicted and ground-truth masks.
Skill Claude CodeCodex
Fix pixel overflow artifacts in 12-bit unsigned DICOM files where values wrap around at 4096.
Skill Claude CodeCodex
Normalize DICOM pixel values using frequency-equalized histogram bins for globally consistent non-linear intensity mapping.
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: