neild0 Goto Github PK

5490-powerup2018

6.842-final-project

Final project for MIT 6.842 — Randomness and Computation

airquality

The Air Quality project

auto-keras

This repo makes it even easier to train an image classification model, all you give is the dataset, how long you want to train, and what size images you want. The code takes care of the rest.

baymax

BayMax: An AI Healthcare Companion

bio_beta

cfsurvival

R package for nonparametric estimation of counterfactual survival functions and survival contrasts from right-censored data with an observational baseline treatment.

cog-stable-diffusion

Diffusers Stable Diffusion as a Cog model

data

datacamp_facebook_live_ny_resolution

In this Facebook live code along session with Hugo Bowne-Anderson, you're going to check out Google trends data of keywords 'diet', 'gym' and 'finance' to see how they vary over time.

datatest2

deepspace5490

FRC 2019 Team 5490 Robotics Code

docs

dynaweb

website for dynaMIT, deployed to heroku

ec

eclair-agents

first-ai-crash-course

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, identify different types of clothes, and even automatically tag text, all from scratch!

first-mlworkshop

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 Image Classification App' workshop at FIRST Detroit on April 26th at 1:30 - 3:30 pm.

frcrobotcode

frontend

Frontend for https://dormsp.am/

genderbert

This is my repo for the Kaggle Google Gendered Pronoun Resolution Challenge, determining what entity pronouns describe in a sentence.

gym-super-mario

Gym - 32 levels of original Super Mario Bros

hw3-annikavi

hw9-neild0

image2disease

This is a repo for Part 1 of my 2019 Project: Skin Disease Detection from Images

imessage

Go Library used to interact with iMessage (Messages.app) on macOS

ml-for-pdes

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

moonbear_bio_beta

p000020

paintair

paintair combines the powers of computer vision and AI art generation to turn concept art into reality! Sketch out a doodle in air with your fingers, using voice commands for coloring and detail - we'll take care of the rest. With the help of pose estimation and Stable Diffusion, the sketch becomes a complete work of art, unique and generated in real time. Think Disney intro, but where the wand image actually comes to life :)