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adversarial-cross-lingual-context-vectors

Training to produce cross-lingual context-vectors

blegateway

Code for a raspberry pi gateway device that constantly checks for BLE devices

butterfly-project

OpenCV to extract hand drawn images of butterflies

character-aware-lstm

An ipython notebook detailing an implementation of an LSTM using characters as input

coopnet

Descriptor and Generator components of CoopNet

cs224n

emoji_predictor

Contains a variety of nlp methods to predict emojis

genki_anki_deck_generator

graph_extraction

This project attempts to help the user to extract a mathematical graph(G = (V, E)) from a digital image.

hate-tweet

ilugp

Implementation of Improving Language Understanding by Generative Pre-Training

imfree

An android app to notify friends when you're available to hang out.

koalagatt

A python library meant to facilitate communication between a Raspberry Pi and a Koala (a wearable bluetooth device)

lighthouse-js-fundamentals

monte-carlo-methods

Various code created to simulate monte-carlo methods in a graduate class about said topics

neonrights.github.io

Testing out webhosting through github

pdf2graphs

Python script for converting graphs in vector graphics format inside a PDF into a node and edge list in JSON format

pocket_solver

simple solver for a pocket cube

pomegranate

Graphical models for Python, implemented in Cython for speed.

pssdp

Code developed for Porto Seguro’s Safe Driver Prediction competition on Kaggle

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-pretrained-bert

The Big-&-Extending-Repository-of-Transformers: PyTorch pretrained models for Google's BERT, OpenAI GPT & GPT-2 and Google/CMU Transformer-XL.

robotics

secret-burryto-2016

something

swinemeeper

Minesweeper solvers

ttt4data

Simple javascript tic tac toe game that records player moves for each game as well as the winner.

ttt4ml

A machine learning algorithm for games played on a cell or grid. Default is Tic Tac Toe.

tweet-mood

We're Tweet-Mood, a web based, geolocated sentiment analysis application using live tweets posted in the US. Our goal was to create a more powerful tool for understanding how various socioeconomic and other demographic factors play into the overall sentiments expressed in a community. Our application is built on a python flask server hosted on an AWS ec2 instance. Data is streamed through a redis backed ElastiCache to a naive Bayes classification model. Frontend data visualization is done in LeaftletJS and Mapbox.

vertex_recognition

wordgan

Pet project to increase understanding of GANs and NLP