A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".
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Updated
May 31, 2024 - Python
A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".
Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Analysis of Skin Lesion Images to segment lesion regions and classify lesion type using adversarial deep learning.
Projekt u sklopu predmeta Analiza slika u biomedicini
EfficientNet-Based Classification of the Food101 Dataset
Insightface Keras implementation
Based on my published research paper, this project uses a "One-vs-All" deep learning approach with EfficientNet B4 to classify cassava leaf diseases. Integrated into an Android app, it helps farmers detect diseases early, supporting sustainable farming and reducing crop losses.
This is a Major Project undertaken for the fulfillment of a Bachelors Degree in Computer Engineering where People can interact with their computer devices using gestures
Python toolkit for speech processing
A comparative analysis of deep learning algorithms for multi label image classification using microscopic images.
Mobile application developed for detecting quality of fruits.
EfficientNetV2 (Efficientnetv2-b2) and quantization int8 and fp32 (QAT and PTQ) on CK+ dataset . fine-tuning, augmentation, solving imbalanced dataset, etc.
Binary classification, SHAP (Explainable Artificial Intelligence), and Grid Search (for tuning hyperparameters) using EfficientNetV2-B0 on Cat VS Dog dataset.
Breast Cancer H&E classification of Images and Image Generation
πππ Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation πππ
Comparative Analysis on Emotion Recognition using Deep Learning
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