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šÆ Iām looking to collaborate on Deep Learning Projects.
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š¬ Researching on Diffusion Models, Image-Text representations
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š« How to reach me [email protected]
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ā” Fun fact I am from the future and I won the Turing Award
Name: Pranav Gupta
Type: User
Bio: Computer Vision, Image Processing, Machine Learning, Reinforcement Learning
Twitter: pranavgupta2603
Location: New Delhi
šÆ Iām looking to collaborate on Deep Learning Projects.
š¬ Researching on Diffusion Models, Image-Text representations
š« How to reach me [email protected]
ā” Fun fact I am from the future and I won the Turing Award
Explore advanced audio classification with SimCLR-UrbanSound8K. This repository applies SimCLR for urban sound categorization using the UrbanSound8K dataset, demonstrating state-of-the-art techniques in deep learning and audio analysis
SLIC Paper Python Implementation: https://ieeexplore.ieee.org/abstract/document/6205760
SplitwiseGPT Vision: Streamline bill splitting with AI-driven image processing and OCR. This innovative web app uses Pytesseract, GPT-4 Vision, and the Splitwise API to simplify group expense management. Upload bill images, auto-extract details, and seamlessly integrate expenses into Splitwise groups. Ideal for easy and accurate financial tracking
A tutorial that guides users through the process of fine-tuning a stable diffusion model using HuggingFace's diffusers library. The tutorial includes advice on suitable hardware requirements, data preparation using the BLIP Flowers Dataset and a Python notebook, and detailed instructions for fine-tuning the model.
The GitHub repository focuses on transforming audio files into mel-spectrogram images. It was created for the "UrbanSound8k Mel Spectrogram Images" dataset on Kaggle. Key features include sound visualization and dataset creation for sound analysis. The repository includes an Audio-to-Spectrogram.ipynb notebook for creating spectrograms.
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