nuankw Goto Github PK

awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch

aws-time-series-smart-farm

big-bench

Beyond the Imitation Game collaborative benchmark for enormous language models

circuitsimulator

clrs-1

📚 Solutions to Introduction to Algorithms Third Edition

com2sense

Dataset & Code for Com2Sense Benchmark

competition-examples

Example competitions for the CodaLab project.

cs224n-winter-2017

All lecture notes, slides and assignments from CS224n: Natural Language Processing with Deep Learning class by Stanford

cs56-rational-example

Example class for Rational Numbers. Illustrates various techniques of Java Coding.

database

A database project focused on internal implementation

deam

dilatedrnn

Tensorflow implementation for DilatedRNN

eventplus

[NAACL'21 Demo] EventPlus: a temporal event understanding pipeline that integrates various state-of-the-art event understanding components including event trigger and type detection, event argument detection, event duration and temporal relation extraction

google-colab-setup

for my own reference

hex-game

My AI game bot based on minimax alpha-beta pruning and some original heuristic functions (not really smart enough though)

holoasl

m4-methods

Includes the source code of the methods which participated in the M4 Competition

mcs-demo

Data collection interface & AMT scripts for Com2Sense

nuankw.github.io

Nuan Wen's Personal Website

open-sesame

A frame-semantic parsing system based on a softmax-margin SegRNN.

spark-basic-structure

Example of one possible way of structuring a Spark application

spark-intercooler

TodoMVC usin intercooler.js and Spark

sparkjava-rest-with-mlab

Restful API for Posts with mlab backend storage

summer-research-2018-group

PART II Group Work

summer-research-2018-part-one

PART I DeepAR implementation based on paper: https://arxiv.org/pdf/1704.04110.pdf

tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

toy-dataset-generator

please check newer version in:

tutorials

The "REST With Spring" Course:

ucsb-cs56-go

travel recommendations based on real time data

ucsb-cs8-f18.github.io

CS8 Fall 18 website