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1. FIRST-AI-Crash-Course FIRST-AI-Crash-Course Public

   Welcome to the FIRST AI CrashCourse, presented by Neil Deshmukh at 2019 FIRST Robotics World Championship, Houston, TX! In this workshop, we'll develop Neural Networks to predict fuel efficiency, i…

   Jupyter Notebook 11 2

2. FIRST-MLWorkshop FIRST-MLWorkshop Public

   This project was developed by Neil Deshmukh to teach attendees how to develop an image recognition Convolutional Neural Network and complimentary app, at the 'Using Machine Learning to Build an Ima…

   Python 7 5

3. ML-for-PDEs ML-for-PDEs Public

   Code for Fast Prediction of PDEs using Hessian-Free Trust-Region Methods

   Jupyter Notebook 1 1

4. Semi-Supervised-NLP-for-MedReport-Classification Semi-Supervised-NLP-for-MedReport-Classification Public

   NLP pipeline with a semi-supervised LSTM model, to automate fine-grained medical report classification and cohort generation with a small training set. Work conducted at MGH & BWH Center for Clinic…

   Jupyter Notebook 1 2

5. SiaCeption SiaCeption Public

   Development of few-shot learning tool for a variety of image classes, utitilizing features extracted from ConvNets.

   Jupyter Notebook 2 1

6. FRCRobotCode FRCRobotCode Public

   Java 1 1