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AI Models

Explore AI models, their documented capabilities, access methods and deployment requirements. Compare official resources, requirements and limitations.

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AI Models projects

S Scan2Cap Scan2Cap is a Python research implementation of an end-to-end method for detecting objects in 3D scene point clouds and describing them in natural language.

S Scientific Paper Summarisation Scientific Paper Summarisation is a Python research project that uses supervised learning to extract summaries from scientific papers, with code for paper parsing, training-data preparation, model training, summary generation and evaluation.

M Modern Self-Referential Weight Matrix Modern Self-Referential Weight Matrix is a public Python research repository implementing neural weight matrices that learn to modify their own weights.

R Reqflow ReQFlow is a Python research project that generates protein backbone structures using rectified quaternion flow. Its public repository contains model code, checkpoint links and a configurable command-line inference workflow.

G GEMMA3 Object Detection GEMMA3 Object Detection is a Python repository demonstrating how to fine-tune Gemma 3 for object detection by representing bounding boxes as discrete location-token sequences.

S Swem SWEM is a Python and TensorFlow research implementation of simple word-embedding-based text models and pooling methods, with code and prepared data for reproducing classification experiments described in an ACL 2018 paper.

P Pulse Of Motion Pulse Of Motion is a Python model and research repository for estimating a video's physical frames per second (PhyFPS) from visual motion, independently of container frame-rate metadata.

D DINOV2 Remote Sensing DINOV2 Remote Sensing is a PyTorch reimplementation of DINOv2 for remote-sensing imagery, with pretrained vision-transformer checkpoints and code for training and evaluation.