Sweta Kumari Shaw's repositories
hihihi
hihi
scikit-learn
scikit-learn: machine learning in Python
DAEFormer
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation
Multi-Stage-Hybrid-Transformer
Official release of MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer https://ieeexplore.ieee.org/document/10006398
Breast-Cancer-Classification-2
Breast cancer classification using vision transformers and transfer learning
Keras-GAN
Keras implementations of Generative Adversarial Networks.
applied-ml-papers
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Compact-SiT
Compact Self-Supervised Vision Transformer (cSiT) on Histopathology Images
breakhis_gradcam
Using GradCAM on the BreaKHis dataset
Breast-Cancer-Detection-Using-CNN
A CNN model trained using BreakHis dataset which can identify and differentiate between malignant and benign cells with an accuracy of 95.33%.
Deep-feature-extraction-from-CNNs-followed-by-optimization-with-GA
Extracting the deep features of the BreakHis dataset from pre-trained GoogLeNet, ResNet-18 and VGG-19 Convolutional Neural Networks (CNNs) followed by optimization using Genetic Algorithm (GA) and classification using SVM, KNN and MLP classifiers.
breast_cancer_classification_ViT
in this repo wanna present a Vision Transformer code for breast cancer classification using Pytorch and Timm
ResNet50-Cancer-cell-Classifier
Cancer Histology Images are one of the more widely used preferred methods to identify cancer. In this project, we train a robust ResNet-50 model to classify breast cancer histology images as benign or malignant by using the BreakHis dataset.
awesome-mlss
List of summer schools in machine learning + related fields across the globe
BreaKHis_Classifier
This is the project for my bachelor thesis, a deep learning approach to breast cancer classification. The dataset used is BreaKHis.
ML-Course-Notes
🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.
VGGIN-Net
VGGIN-Net architecture for imbalanced breast cancer classification
Self-Supervised-Breast-Histopathology-Transformers
Self-Supervised Vision Transformers for Breast Histopathology Image Embeddings in Invasive Ductal Carcinoma Detection
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
Data-science
Collection of useful data science topics along with code and articles
vit-breast-cancer
Transfer learning pretrained vision transformers for breast histopathology
Deep-Convolutional-Neural-Networks-improvisation-with-applied-Genetic-Algorithm
Performed feature extraction on pre-trained and fine-tuned Convolution Neural Networks for enhanced accuracy on dataset of BreakHis through application of novel Genetic Algorithm
Lead-Scoring-Case-Study--Logistic-Regression
Lead Scoring Case Study- Logistic Regression