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cnn-models

ImageNet pre-trained models with batch normalization for the Caffe framework

cs201-project

Final Project for CSCI201 - Presented on November 15th, 2018

cs576-final-project

dl-docker

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

enet-lasagne

(WIP) a port of E-Net Segmentation Network to Lasagne

expdata_final

Experimenal Code Generated as part of "The Importance of each Terminal Part to the Deformable Parts Model" - Full Citations are in Accompanying Report

flashcards

*mildly improved* flashcards for scope lesson 2

gans-in-lasagne

(WIP) A collection of several Generative Adversarial Network Implementations in Theano + Lasagne

githubgraduation-2022

Join the GitHub Graduation Yearbook and "walk the stage" on June 11.

histomethods

ipilab-assignments

Designed to Teach Incoming Lab Members the Java Programming Language

lasagne

Lightweight library to build and train neural networks in Theano

librarian

*improved* librarian app for scope lesson 3

matconv_vgg16_to_lasagne

Converts a pretrained VGG-16 CNN trained in MatConvNet to Lasagne

mesen

Mesen is a cross-platform (Windows & Linux) NES/Famicom emulator built in C++ and C#

nae-gc-rec-system

Adaptive Test Question Recommendation Engine

numpy-exam

Short Numpy Quiz for Onboarding Members to IPILab USC Radiation Therapy Project

opencv-web-video

Basic video processing demo on the browser using OpenCv.js

openmrs-contrib-android-client

Android client for OpenMRS

openmrs-module-fhir

Implements REST and Java APIs to access OpenMRS via FHIR Specification.

openmrs-module-webservices.rest

Provides RESTful web services for OpenMRS

quiz-app

A react-native Quiz App using Qriusity API

radiationtherapyapplication

radiationtherapydecisionsupport

Python Code, MATLAB Original Code and data to benchmark Radiation Therapy Decision Support Algorithm

scope-todo

Priority-Based todo list for Scope

tensorflow-enet

TensorFlow implementation of ENet

voc-release5_win

Based on code by R. Girshick. Girshick, R. B. (2012). Discriminatively trained deformable part models. Retrieved from http://www.cs.berkeley.edu/~rbg/latent/index.html