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Michal Shlapentokh-Rothman's Projects

aws-ohl-autoaug icon aws-ohl-autoaug

An integration of several popular automatic augmentation methods, including OHL (Online Hyper-Parameter Learning for Auto-Augmentation Strategy) and AWS (Improving Auto Augment via Augmentation Wise Weight Sharing) by Sensetime Research.

coop_augment icon coop_augment

Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

gpv-1 icon gpv-1

A task-agnostic vision-language architecture as a step towards General Purpose Vision

grit_official icon grit_official

Official repository for the General Robust Image Task (GRIT) Benchmark

lavis icon lavis

LAVIS - A One-stop Library for Language-Vision Intelligence

ml_notes icon ml_notes

Notes related to machine learning. Focuses on summarizing main results, key ideas and definition.

segment-anything icon segment-anything

The 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.

viper icon viper

Code for the paper "ViperGPT: Visual Inference via Python Execution for Reasoning"

vision-language-models-are-bows icon vision-language-models-are-bows

Experiments and data for the paper "When and why vision-language models behave like bags-of-words, and what to do about it?" Oral @ ICLR 2023

vl-t5 icon vl-t5

PyTorch code for "Unifying Vision-and-Language Tasks via Text Generation" (ICML 2021)

word-tree icon word-tree

A Unity app designed to help children learn English letter-sound correspondence, sound blending, and sight word recognition.

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