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1. GRID-AUGMENTED-VISION GRID-AUGMENTED-VISION Public

   The project demonstrates that explicit spatial references can significantly enhance AI's ability to precisely locate and track objects without complex architectural modifications.

   Python 2 1

2. pLDDT_Predictor pLDDT_Predictor Public

   Forked from jw-chae/pLDDT_Predictor

   Python 1

3. X-Decoder X-Decoder Public

   Forked from microsoft/X-Decoder

   [CVPR 2023] Official Implementation of X-Decoder for generalized decoding for pixel, image and language

   Python

4. Segment-Everything-Everywhere-All-At-Once Segment-Everything-Everywhere-All-At-Once Public

   Forked from UX-Decoder/Segment-Everything-Everywhere-All-At-Once

   [NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

   Python

5. pix2pix-for-Image-Segmentation-Recovery pix2pix-for-Image-Segmentation-Recovery Public

   This project uses a pix2pix model based on U-Net and PatchGAN to recover the original image from segmentation labels. The input to the model is the segmentation result of an image, and the output i…

   Python

6. Pre-training-of-small-scale-models Pre-training-of-small-scale-models Public

   I tried to train a 0.03B pre-trained model using 31GB of text data and successfully experienced the entire process of pre-training a language model.

   Python