Vaibhav Singh

Building MobileViT Image Classification Model from Scratch In Keras 3

In the rapidly evolving field of deep learning, the challenge often lies not just in designing powerful models but also in making them accessible and efficient for practical use, especially

AI Research Papers, CNN, Computer Vision, Convolution, Deep Learning, Keras, Transformer Neural Networks, Vision Transformer

Medical Image Segmentation Using 🤗 HuggingFace & PyTorch

Explore medical image segmentation using the UW-Madison dataset, fine-tune Segformer with PyTorch & HuggingFace transformers, and deploy a Gradio inference app.

Computer Vision, Deep Learning, Image Segmentation, Medical Imaging

Enhancing Medical Multi-Label Image Classification Using PyTorch & Lightning

Medical diagnostics rely on quick, precise image classification. Using PyTorch & Lightning, we fine-tune EfficientNetv2 for medical multi-label classification.

CNN, Deep Learning, Image Classification, Medical Imaging, PyTorch, PyTorch-Lightning

Meet YOLO-NAS: New YOLO Object Detection Model Beats YOLOv6 & YOLOv8

YOLO-NAS is the new real-time SOTA object detection model. YOLO-NAS models outperform YOLOv7, YOLOv8 & YOLOv6 3.0 models in terms of mAP and inference latency.

Computer Vision, Object Detection, PyTorch, YOLO

An In-Depth Guide to Denoising Diffusion Probabilistic Models DDPM – Theory to Implementation

An in-depth explanation of the theory and math behind denoising diffusion probabilistic models (DDPMs) and implementing them from scratch in PyTorch.

AI Art Generation, Deep Learning, Diffusion Models, Generative AI, Generative Models

Diffusion Models for Image Generation – A Comprehensive Guide

In this article, we explore the Diffusion models for Image generation and art generation. We cover models like Dall-E 2, Imagen, Stable Diffusion, and Midjourney

AI Art Generation, Deep Learning, Diffusion Models, Generative AI, Generative Models