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I found your work incredibly interesting and insightful. Thank you for the great work!
I wanted to share [NaturalBench](https://arxiv.org/abs/2410.14669) (NeurIPS'24 D&B), a collaborative project b…
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Dear Repodiac,
I hope you are well. I was unable to find contact information on your profile so I am writing to you here.
I am currently working on a project for my natural language processing c…
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How is it different from rgb salient object detection models like birefnet, inspyrenet:
https://paperswithcode.com/sota/salient-object-detection-on-dut-omron.
Do these models have better accuracy t…
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- **Is your feature request related to a problem? Please describe:**
The current face expression recommendation system uses MobileNet, and there is a need to evaluate a custom CNN model built from s…
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@Devanik21 i analyze the mining python file and see lots of abnormalities ,i would to work on it
there is list of problem s that i can solve
### Data Leakage:** Pre-trained models may have bee…
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Currently, the evaluate_model function focuses primarily on accuracy and F1-score for classification models, and MSE and R² for regression models. We could enhance this by including additional evaluat…
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I have been testing the accuracy of Phi-3.5 Vision models in Web-LLM https://chat.webllm.ai/#/chat vs Nvidia nims available https://build.nvidia.com/microsoft/phi-3_5-vision-instruct
1. The Nvidia …
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## **Title** :
Sugarcane Leaf Disease Detection
## **Aim** :
- This project focuses on classifying sugarcane leaf diseases using different machine learning models. The dataset contains images of …
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from robustbench.utils import clean_accuracy
from robustbench.utils import load_model
AttributeError: module 'timm.models._registry' has no attribute 'get_pretrained_cfgs_for_arch'
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Improve voice recognition accuracy by integrating advanced NLP models and adding support for multiple languages.