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Hi Lee, recently I want to reproduce your experiments about domain adaption in this paper. But I can't find the details in your README. Could you provide some guidance? I will really appreciate that.
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Hello, Thanks for your code.
In the Generative Adversarial Network (GAN), it always maintain the parameters of the G while update the parameters of D firstly, and then maintain the parameters of th…
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In the LLMs field, people are going after foundation models and finetuning them to their own tasks using Low-rank Adaptation.
Is it possible to leverage LoRA for finetuning Grounding DINO as well?
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The problem encountered during CMatchASR training is that when I trained using train.yaml, I got a word error rate of 22% on the data libriadapt_en_us_clean_matrix. Then I used the model.loss.best mod…
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When using any other GPU devices ID, except 0, the code throws error.
"
Traceback (most recent call last):
File "test.py", line 12, in
opt = TestOptions().parse()
File "/home/jang_sa/phd…
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Hi, thanks for your impressive work! :)
I really looked forward to releasing this code, so thank u for sharing!
btw, may I ask whether u can share segmentation codes also?
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1. [Binary Relevance Efficacy for Multilabel Classification](https://link.springer.com/article/10.1007/s13748-012-0030-x) > https://github.com/Gin04gh/datascience/issues/6#issuecomment-419388287
1. […
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Can you share the download link for the file "./InternVL-Domain-Adaptation-Data/train_meta/internvl_1_2_finetune_drivelm.json"? drivelm data set has three data sets: train,val and test. I am not sure …
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after run the prepare_experiments.sh,i get two folders:datasets and experiments.
but the datasets is empty,and i am pretty sure i have change the path...
i am so confused.....
can anyone tell me wh…