pranathichunduru Goto Github PK
Name: pranathi chunduru
Type: User
Bio: Data Science Specialist @UCSF | Deep learning | Neuroscience
Location: San Francisco ,CA
Name: pranathi chunduru
Type: User
Bio: Data Science Specialist @UCSF | Deep learning | Neuroscience
Location: San Francisco ,CA
Answers to 120 commonly asked data science interview questions.
Implementation of deformable Open and Closed Snake algorithm for Medical Images
:exclamation: This is a read-only mirror of the CRAN R package repository. CALIBERrfimpute — Multiple imputation using MICE and Random Forest
A complete computer science study plan to become a software engineer.
Application of CollaGAN (Collaborative GAN) for MRI Image Imputation
This repo contains all the cheatsheets you need to keep handy, I will add more soon.
This repo contains all the programming assignments from Stanford Coursera Machine Learning Course in MATLAB.
Tensorflow implementation of CycleGAN
Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf
Supporting materials for weblog series on data science
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge
Keras code and weights files for popular deep learning models.
A library for training deep neural networks using pathology data by accessing patches on-the-fly
DeepSurv is a deep learning approach to survival analysis.
Feature exploration for supervised learning
Implementation of Grad CAM in tensorflow
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A Python library for pathology image analysis algorithms.
Introduction to NLP with PyTorch Workshop Project
:exclamation: This is a read-only mirror of the CRAN R package repository. kernlab — Kernel-Based Machine Learning Lab
Notes and code for learning Random Forests
A complete daily plan for studying to become a machine learning engineer.
Performance comparison using Machine Learning algorithms for Human Activity Recognition using Smartphone based Sensors
This repository contains my ML scripts in R
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.