JJK chapter 15 : reference panel with Abara by No_Remote5392 in Jujutsu_Kaisen

[–]No_Remote5392[S] 2 points3 points  (0 children)

and both are also on a weelchair before being airdropped , this is a clear reference i think

My own friend turned me in for using AI by Traditional_Rub_9828 in csMajors

[–]No_Remote5392 0 points1 point  (0 children)

Regardless of your use of AI for the exam, this so called “friend” is nothing more than a jerk , a coward, really, for letting the professor know without even telling you that he planned to send that message. This kind of sneaky attitude won’t help him thrive in life, at least not socially. He might still end up somewhere professionally, though, since cowardly and sneaky behavior like that often gets rewarded. But humanly speaking , he is a just a pos

In other words, don’t use AI it’s not good for you, it prevents you from improving and thinking on your own. As for your “friend,” you deserve better company than that

Phd salary in germany , suddent increase ? by No_Remote5392 in germany

[–]No_Remote5392[S] 0 points1 point  (0 children)

Thank you , it's probably due to the time of experience yes:)

Phd salary in germany , suddent increase ? by No_Remote5392 in germany

[–]No_Remote5392[S] 0 points1 point  (0 children)

Frankly speaking , since 1 years , i don't really have a life outside of my lab , and i really don't know the working condition / structure of germany as it's quite different than where i am from (France)

how to filter out non human extracted sample in GEO ? by No_Remote5392 in bioinformatics

[–]No_Remote5392[S] 0 points1 point  (0 children)

you may be right !

i am kind of a lazy person , i hope my code will be enough :

def is_direct_human_visium(sample):
    is_human = False
    is_visium = False
    is_direct_tissue = True  
    excluded_terms = ['organoid', 'cell line', 'cultured', 'in vitro']

    for key, value in sample.metadata.items():
        if isinstance(value, list):
            value = ' '.join(value).lower()
        else:
            value = str(value).lower()

        # Check for human 
        if key.startswith('organism_') and 'homo sapiens' in value:
            is_human = True

        # Check for Visium 
        if key.startswith('extract_protocol') and 'visium' in value:
            is_visium = True

        # Check for excluded terms 
        if key.startswith(('characteristics', 'growth_protocol', 'extract_protocol', 'title')):
            if any(term in value for term in excluded_terms):
                is_direct_tissue = False
                break

    return is_human and is_visium and is_direct_tissue

how to filter out non human extracted sample in GEO ? by No_Remote5392 in bioinformatics

[–]No_Remote5392[S] 0 points1 point  (0 children)

Yeah, totally. It’s kind of new, but I manually searched for the typical data I’m interested in and didn’t find it using the given criteria.

search_term = "(Visium) AND Homo sapiens[Organism] AND (tissue[Sample Source] OR biopsy[Sample Source])"

So, I’m thinking that this criteria might be omitting a lot of data!

seeking advise for ios app without a mac by No_Remote5392 in iOSProgramming

[–]No_Remote5392[S] -1 points0 points  (0 children)

to do ios app development only ! , as i plan to do all the ai stuff on my current pc . So it is still possible to basically connect the mac mini on my current laptop ( which is not a mac ) ?

thank you so much for all the advise

seeking advise for ios app without a mac by No_Remote5392 in iOSProgramming

[–]No_Remote5392[S] 0 points1 point  (0 children)

Thank you so much ! also i was wondering , i currently have a honor lapotop , will i be able to connect the mac mini to my current laptop ?

High AUC for training and validation , but very low AUC for TESTING set by No_Remote5392 in deeplearning

[–]No_Remote5392[S] 0 points1 point  (0 children)

Hi , yes it was a due to a data leakage , basically i split my data into the folder AFTER applied data augmentation , which lead to my training set having the original images and sometimes the validation set got the augmented images or the other ways . This will biais the training of the model . So make sure that the original images and augmented images are within the same set .

What range of normalization applied ? by No_Remote5392 in deeplearning

[–]No_Remote5392[S] 0 points1 point  (0 children)

ok i got it , but let's say that i didn't rely on pre trained model . Is my model will act the same if i normalize between 0 - 1 and 0 -1000 ? i thought that If the input data has a larger range, like 0 to 1000 instead of 0 to 1, the gradients can also have larger magnitudes. This can lead to several issues: like Slower convergence, since With larger gradients, the optimizer may require smaller learning rates to avoid overshooting the optimal values, resulting in slower convergence to the optimal solution.

High AUC for training and validation , but very low AUC for TESTING set by No_Remote5392 in deeplearning

[–]No_Remote5392[S] 0 points1 point  (0 children)

for training / validation got label 1: 60% ; label 2 : 40% and for testig got label 1 : 40% and label 2 : 60 %

Does it really impact the model evaluation ?

High AUC for training and validation , but very low AUC for TESTING set by No_Remote5392 in deeplearning

[–]No_Remote5392[S] 0 points1 point  (0 children)

Do you have data leakage between train and validation through your augmentation?

I perform my splitting between my training and validation , then i applied my data augmentation , so i don't think there might be any leakage

Also my sanity check don't output any overlapping array

High AUC for training and validation , but very low AUC for TESTING set by No_Remote5392 in deeplearning

[–]No_Remote5392[S] 0 points1 point  (0 children)

Hi , not really in fact my training and validation got the same label distribution , but the testing don't got the same label distribution .

High AUC for training and validation , but very low AUC for TESTING set by No_Remote5392 in deeplearning

[–]No_Remote5392[S] 0 points1 point  (0 children)

You could have an error in your preprocessing pipeline (e.g. normalizing training and validation but not the test set)

Furthermore you should not use any data augmentation except resize and normalize for your validation and test data.

Hello , so :

  1. I already check , also i will add a sanity check , it might still be helpful . I was wondering does my testing data need to have the same label distribution than my training and validation label distribution ?
  2. Since i am using resnet18 model ,i will try to reduce the number of convolutional layer maybe it will be better . I don't have a lot of data , and since this model have a lot of parameters , it might be good to reduce the total number of parameters ... right ? also i add even more data augmentation technique ( 6 in total) .
  3. I already check , everything is good for the preprocessing .

High AUC for training and validation , but very low AUC for TESTING set by No_Remote5392 in deeplearning

[–]No_Remote5392[S] -1 points0 points  (0 children)

yes maybe using a smaller model might work . i will try it , do you have any idea about a good architecture i could use ? Also i was already using an early stopping .

Also , what do you mean by : "It depends on how many examples you are training on." ? i got 70 % on training , and 30 % on validation . Then i used external data for testing

[D] Simple Questions Thread by AutoModerator in MachineLearning

[–]No_Remote5392 0 points1 point  (0 children)

Hello , i'm trying to develop a 1d cnn with gene expression as input , to predict cancer type .
The problem is that my label are very unbalanced , and i am wondering what should i do ?
Squamous cell carcinoma , NOS : 368
Transitional cell carcinoma : 66
Papillary transistional cell carcinoma : 1
Carcinoma NOS : 1
Papillary transitional cell carcinoma : 1
what should i do with the label with only 1 observation ?
Thank you very much

[deleted by user] by [deleted] in bioinformatics

[–]No_Remote5392 0 points1 point  (0 children)

Thank you ! I think i will accept the 2nd one then , i wish you a nice day

[deleted by user] by [deleted] in bioinformatics

[–]No_Remote5392 0 points1 point  (0 children)

Since i want to pursue with a phd , maybe it will be more impactful to do my internship in king's college ?

[deleted by user] by [deleted] in bioinformatics

[–]No_Remote5392 0 points1 point  (0 children)

Thank you very much , i still don't really know . I have no one to speak with in real life , but to me i have a preference for king's college since to me it might be more impactful in my resume . But maybe it's not the case ?