liuxy1103

About semisupervised_MNIST_CIFAR10\pre-training\main_SBMs_node_classification.py

5

There are no the script "from train.train_SBMs_node_classification import train_epoch, evaluate_network"

why do your do such a operation" edge_feat = edge_feat + force_edge_feat"

Hello, I wonder how to set the number of superpixels in the results.

I want to reproduce your work, but I do not know how to randomly select samples on 23 datasets

https://scontent-nrt1-1.xx.fbcdn.net/m1/v/t6/An8MNcSV8eixKBYJ2kyw6sfPh-J9U4tH2BV7uPzibNa0pu4uHi6fyXdlbADVO4nfvsWpTwR8B0usCARHTz33cBQNrC0kWZsD1MbBWjw.txt?ccb=10-5&oh=00_AfCyB7Icjme5eKJOWOHvK70QI6PTtWlk9symqgMGYyrWJQ&oe=646D7C98&_nc_sid=fb0754 I have download one of these links, but I wonder how to use this file with more than 10 GB. What's it data organization

I cannot find your most import code of Searches for the optimal scaling factors of each layer. Could you mind release it, thanks

Backone for Segmentation task

1

I came across your GitHub repository where you have shared a PyTorch implementation of a backbone network for a classification task. I'm interested in using this backbone for a segmentation...

The ckpt of Quantized OPT model is not be found

6

We have tried to reproduce the quantization of OPT-30B， but it is still difficult for us. Would you mind releasing the details of the procedure?

I would like to know what distillation algorithm you used specifically, which small model was trained on which data set, and whether it still has the ability of "emergence", that...