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segment-anything
segment-anything PublicThe repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
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detectron2
detectron2 PublicDetectron2 is a platform for object detection, segmentation and other visual recognition tasks.
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- PrivacyGuard Public
PrivacyGuard platform for Privacy Attacks and Analysis. Perform privacy analyses of ML models using Inference Attacks and Extraction Attacks. PrivacyGuard library implements varied, SotA privacy attacks, along with tooling to analyze results. Please see the README and tutorials to get started!
- abtest_opportunity_cost Public
Code for the paper "A/B testing with opportunity costs: Trading off reward and error control" by Ben Chugg, Artem Vorozhtsov, and Houssam Nassif
- TRAPS-Benchmark Public
A procedurally generated video benchmark for epistemic restraint in vision-language models: each physics scenario pairs an answerable video with an unanswerable one, and the PECS metric scores a model only when it answers the knowable cases and abstains on the unknowable ones.
- vrs Public
VRS is a file format optimized to record & playback streams of sensor data, such as images, audio samples, and any other discrete sensors (IMU, temperature, etc), stored in per-device streams of timestamped records.
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