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Name: Sweta Kumari Shaw
Type: User
Bio: Data Science Enthusiast, Software Engineer by Profession. Pursuing PG diploma in Data Science from IIIB
Name: Sweta Kumari Shaw
Type: User
Bio: Data Science Enthusiast, Software Engineer by Profession. Pursuing PG diploma in Data Science from IIIB
Advanced Machine Learning Specialization on Coursera
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
:memo: An awesome Data Science repository to learn and apply for real world problems.
List of summer schools in machine learning + related fields across the globe
Linear Regression Assignment - Bike sharing Demand
Baseline performance on BreakHis dataset with pre-trained models
This is the project for my bachelor thesis, a deep learning approach to breast cancer classification. The dataset used is BreaKHis.
Using GradCAM on the BreaKHis dataset
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 Cancer Classification using CNN and transfer learning
Breast cancer classification using vision transformers and transfer learning
Working with BreakHis dataset for breast cancer classification
A CNN model trained using BreakHis dataset which can identify and differentiate between malignant and benign cells with an accuracy of 95.33%.
Dataset Link
This project deals with multi class classification of breast cancer on BreakHis dataset
CNN Based Autoencoder Application in Breast Cancer Image Retrieval 🔬
in this repo wanna present a Vision Transformer code for breast cancer classification using Pytorch and Timm
Breast Cancer Detection classifier built from the The Breast Cancer Histopathological Image Classification (BreakHis) dataset composed of 7,909 microscopic images.
Breast cancer detection (BreakHis dataset) with fastai and PyTorch
Official Tensorflow implementation of BreastNet
Compact Self-Supervised Vision Transformer (cSiT) on Histopathology Images
Credit Card EDA Case Study - Who is most likely to be default
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation
Collection of useful data science topics along with code and articles
Carefully curated resource links for data science in one place
These are Github repositories for all data science material I feel important. I would update it daily.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.