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anti_smartphone_move

Send text messages to your twilio phone number and receive a text with your g calendar events of the day. Also receive the weather and send auto-emails to your gmail account.

bikes_and_restaurants_data_integration

bot-regalador

c-implementations

Data structures, algorithms, threading, hashing and linear algebra in C.

canny_edge_detection

Canny from scratch using numpy

centros-bip

classifying-digits-softmax

problem set 2 for intro to ml class (ttic)

clustering

Notes, code, etc. from class

cnn-from-scratch

convolutional neural network from scratch using numpy. also implementations with pytortch on some computer vision challenges

crime-chicago

Small data analysis on crime data from https://data.cityofchicago.org/. Visualize in chicago_crime.ipynb

csiro_r_plots

Plotting surveys data sets in R for csiro.au

dd_monitors

deepspeech

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

deepspeech-examples

Examples of how to use or integrate DeepSpeech

encuesta-nueva-constitucion

eviction-va

ML Project to predict tracts with high risk of eviction in state of Virginia

final-report

Submit your assignment here (see workflow in the syllabus for help)

flu-shot-learning-tutorial

Materials for tutorial @ Good Tech Fest 2020

homelessness-usa

Data visualizations of homelessness in USA using R-ggplot2 https://fhalamos.github.io/Homelessness-USA/

homelessness-usa-interactive

Interactive visualizations of Homeless in the USA using d3.js

imse3019-exitapp

imse3019-publicapp

imse3019-shopapp

Smart Card System for Parking Managing (group project of IMSE3019 - HKU)

interest_points_feature_descriptors

interest point detection, feature descriptor extraction, and feature matching from scratch

largescalecomputing_a20

This is the course repository for the Autumn 2020 iteration of MACS 30123 "Large-Scale Computing for the Social Sciences" at the University of Chicago.

loteria

ml-pipeline

Machine Learning Pipeline for classification, and use case for predicting if projects from donorschoose will not be funded in 60 days. Reference challenge: https://www.kaggle.com/c/kdd-cup-2014-predicting-excitement-at-donors-choose

mlforpublicpolicy

Class resources for CAPP 30254 (Machine Learning for Public Policy)

mlforpublicpolicylab

Repo for ML for Public Policy Lab course at CMU

new-blog

Blog prototype on RoR