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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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- factual_reasoning Public
Training code for the Learning to Reason for Factuality paper https//arxiv.org/abs/2508.05618
- mcgrad_multicalibration_at_web_scale Public
This repository contains the replication materials for the paper MCGrad Multicalibration at Web Scale - to be presented at the KDD 2026 conference.
- LWE-benchmarking Public
This repository contains code to generate and preprocess Learning with Errors (LWE) data and implementations of four LWE attacks uSVP, SALSA, Cool&Cruel, and Dual Hybrid Meet-in-the-Middle (MitM). We invite contributors to reproduce our results, improve on these methods, and/or suggest new concrete attacks on LWE.
- spidr Public
This repository contains the training code from paper "SpidR Learning Fast and Stable Linguistic Units for Spoken Language Models Without Supervision". SpidR is a self-supervised speech representation model that efficiently learns strong representations for spoken language modeling.
- balance Public
The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.
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