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Why is batching inference is not equal to simple inference in runtime [closed]

I'm only considering the total inference time. I'm using a PyTorch model with CUDA for a computer vision task, and I’ve observed two different scenarios: Multiple models in parallel: In this setup, n ...
-1 votes
0 answers
27 views

How to interpret an unstable learning curve on a model tuned with Hyberband Tuning? [closed]

I have used Hyperband automatic tuning for an ANN model to predict price. After running the model with the automatic tuning, I am obtaining an R2 score of 1.00 that suggest overfitting, however, I am ...
1 vote
0 answers
46 views

Validating MSD Brain Tumor Segmentation Pipeline

I am creating a 3D medical image segmentation pipeline and working on the Brain Tumor Segmentation task in the MSD dataset (available here) ). According to their official paper titled "The Medical ...
-1 votes
1 answer
43 views

How to make the ImageJ cell counter process semi-automatic for leaf counting? [closed]

I am counting duckweed floating on the surface of water in a jar. To count this duckweed I use the Cell Counter plugin of imageJ. I classify these duckweed in three categories: alive, dead, or turion. ...
-1 votes
0 answers
26 views

Is there a simple ML regression option to estimate frequency features(like central frequency, bandwidth) from a noisy time series short signal? [closed]

Just curious, I am wondering if there is a very simple ML architecture that can be trained to estimate frequency informations in a noisy time series data. Time domain information are easy to ...
3 votes
1 answer
89 views

add a condition on time in scipy odeint

I am having some troubles finding a simple solution to what seems to be a simple problem. I want to compute the integration a simple function. And I want to modify this function if it reaches a ...
-4 votes
1 answer
34 views

Does the weights file stay the same for a different model organism [closed]

I am making a new ML model for genomics based off an existing model. Key difference: model organism. The old model uses bigger, human fastq files, whereas mine will be made for yeast data. Should I ...
0 votes
0 answers
115 views

transformation logic for real-time inference service

I have developed an XGBoost model, the data transformations where done using Pandas for training the model. For real-time inference the data comes from the HTTP request single object/record that ...
-1 votes
0 answers
111 views

Dependency Hell in Google Colab

I was trying to train a NN in Google Colab with Pytorch and then convert it to TFlite. It seems that everything works only with Python 3.11. I was able to find a "switch" that returns Colab ...
1 vote
0 answers
113 views

Temporal Fusion Transformer training oscillating [closed]

I'm practicing using the Temporal Fusion Transformer on a self-made parking lot dataset. I have 23 fields of data features, and for testing, I set the model parameters identically to those used in the ...
2 votes
1 answer
101 views

ERROR: No matching distribution found for tensorflow==2.12

I use macOS. I have to use LibRecommender in my code. Python Version: 3.8.13 According to this link, the 2.10 is a suitable tensorflow version. This is what's in my requirements.txt file I install ...
-1 votes
0 answers
101 views

How to achieve instant multi-layer virtual try-on (VTO) using preprocessed human and outfit segmentation masks? [closed]

I’m building a virtual try-on (VTO) app where users can upload their avatar (photo) once, and then try on multiple outfits (like T-shirts, jackets, hoodies, etc.) instantly — including multi-layering (...
-1 votes
0 answers
28 views

Why Should Bias (Pred − True) Be Evaluated Alongside RMSE and MAE in Model Performance Assessment? [closed]

In the evaluation of regression or predictive models, RMSE and MAE are widely used to measure the magnitude of prediction errors. However, both metrics disregard the direction of these errors — ...
0 votes
2 answers
90 views

Why is there a duplicate index when using sort_index() in pandas?

I am doing target mean mapping based on an external statistical table, where org_ is the external data and merged_data is the set of training data and test data. After processing, the features of ...
0 votes
1 answer
59 views

Cannot calculate confusion matrix utilizing supervision from roboflow for Yolov8 model

I am trying to calculate the confusion matrix for my yolov8 (or yolov11) model utilizing supervision from roboflow. I found some instructions but they do not seem to be crystal clear. For example ...

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