This is the implementation of the 'VSGRU' model mentioned in our paper 'Automated Radiology Report Generation using Conditioned Transformers'.
INSIDE: Steering Spatial Attention with Non-Imaging Information in CNNs
An alternative EQA paradigm and informative benchmark + models (BMVC 2019, ViGIL 2019 spotlight)
Transformer architecture conditioned by metadata
Kitten Reinforcement add-on for Anki
The Tenos Chaotic Conditioning Discombobulator is a ComfyUI custom node that injects controlled mathematical alterations into conditioning tensors. Scale, shift, add noise, and selectively target embedding dimensions to subtly guide or creatively disrupt your image generation process.
A set of Flux specific layer‑aware ComfyUI nodes that let you scale, blend, and splice prompt embeddings per block.
Our "hello, world!" -- a simple clam-like agent that can learn when to open to particular stimuli
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