sweta30 Goto Github PK

6-months-data-science-roadmap-

advanced-machine-learning-specialization

Advanced Machine Learning Specialization on Coursera

applied-ml-papers

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-mlss

List of summer schools in machine learning + related fields across the globe

bike_sharing_demand

Linear Regression Assignment - Bike sharing Demand

breakhis

Baseline performance on BreakHis dataset with pre-trained models

breakhis_classifier

This is the project for my bachelor thesis, a deep learning approach to breast cancer classification. The dataset used is BreaKHis.

breakhis_gradcam

Using GradCAM on the BreaKHis dataset

breakhist-dataset-image-classification

BreakHist Dataset contains histopathological images of eight types of breast cancer, including four benign cancer and for malignant cancer. In this project, I have trained and fined tuned many of the existing CNN models to get over 80% accuracy in multi-class classification.

breast-area-two

breast-cancer-classification

Breast Cancer Classification using CNN and transfer learning

breast-cancer-classification-1

breast-cancer-classification-2

Breast cancer classification using vision transformers and transfer learning

breast-cancer-detection

Working with BreakHis dataset for breast cancer classification

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%.

breast-cancer-detection-using-deep-learning

Dataset Link

breast-cancer-multi-classification-on-breakhis-dataset

This project deals with multi class classification of breast cancer on BreakHis dataset

breast-cancer-retrieval

CNN Based Autoencoder Application in Breast Cancer Image Retrieval 🔬

breast_cancer_classification_vit

in this repo wanna present a Vision Transformer code for breast cancer classification using Pytorch and Timm

breast_cancer_detection

Breast Cancer Detection classifier built from the The Breast Cancer Histopathological Image Classification (BreakHis) dataset composed of 7,909 microscopic images.

breastcancer_detection

Breast cancer detection (BreakHis dataset) with fastai and PyTorch

breastnet

Official Tensorflow implementation of BreastNet

compact-sit

Compact Self-Supervised Vision Transformer (cSiT) on Histopathology Images

contactspro

credit-card-eda-case-study

Credit Card EDA Case Study - Who is most likely to be default

daeformer

DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation

data-science

Collection of useful data science topics along with code and articles

data-science-best-resources

Carefully curated resource links for data science in one place

data-science-learning-material

These are Github repositories for all data science material I feel important. I would update it daily.