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Name: Nimish Awalgaonkar
Type: User
Company: Purdue University
Location: West Lafayette
Blog: https://www.linkedin.com/pub/nimish-awalgaonkar/73/454/396
Name: Nimish Awalgaonkar
Type: User
Company: Purdue University
Location: West Lafayette
Blog: https://www.linkedin.com/pub/nimish-awalgaonkar/73/454/396
Coursera Getting and Cleaning Data Project
Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"
Learning preferences through actions
An inverse-problem solver with Gaussian Process priors
Gaussian Process Elicitation Framework
Unimodal Gaussian Process based preference elicitation (UGP-PE)
Learning preferences of occupants/humans via pairwise comparison queries
Gaussian Process Optimization using GPy
A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.
Overcoming catastrophic forgetting with hard attention to the task
Helmet Detection on Construction Sites
Distributed Asynchronous Hyperparameter Optimization in Python
Image Captioning with Keras
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Keras implementation of MaskRCNN object detection.
Keras implementation of RetinaNet object detection.
Code for 15th place in Kaggle Google AI Open Images - Object Detection Track
Training and Detecting Objects with YOLO3
Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Models and examples built with TensorFlow
Collection of jupyter notebooks for demonstrating software.
Reproducible Research Assignment 1
Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network (ECCV 2018)' paper
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Repository for Programming Assignment 2 for R Programming on Coursera
Bayesian optimization for Python
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.