helma-t Goto Github PK

adaptiveiconplayground

An Android app for experimenting with Adaptive Icons.

amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

android_habit_tracker

Habit Tracker project for Udacity Android Basics Nanodegree

aware-client

AWARE Client source code

aware-server

AWARE Server Dashboard

bubble-picker

An easy-to-use animation which can be used for content picking for Android

cbttool

a simple web-based Cognitive Behavior Therapy tool

computational_modeling_hci

crossvalidateddata

datacrossvalidated

deep-learning-for-medical-applications

Deep Learning Papers on Medical Image Analysis

deeplearning4nlp-tutorial

Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP)

deepspeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

documentation

Plotly's Documentation

edstan-python

Python package for fitting item response theory models using psytan

equatiomatic

Convert models to LaTeX equations

flag-icon-css

:flags: A collection of all country flags in SVG — plus the CSS for easier integration

fluxtream-app

Fluxtream Web Application and Core Modules

funda-scraper

girth

An Item Response Theory Package for Python

gitignore

A collection of useful .gitignore templates

hi-rec

A Java Framework for Recommender Systems

imui-tutorial

Tutorial on Intelligent Mobile User Interfaces

knnbandit

Software for the experiments reported in the RecSys 2019 paper "A Simple Multi-Armed Nearest-Neighbor Bandit for Interactive Recommendation"

mpu-feature-extraction

Mobile Phone Use Dataset: Feature Extraction Script

music

newsrecommendsystem

个性化新闻推荐系统，A news recommendation system involving collaborative filtering,content-based recommendation and hot news recommendation, can be adapted easily to be put into use in other circumstances.

pax_public

pyreclab

pyRecLab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained by Gabriel Sepúlveda and Vicente Domínguez, advised by Prof. Denis Parra, all of them in Computer Science Department at PUC Chile, IA Lab and SocVis Lab.

python-question-bank

Python solutions of problems from various competitive programming platforms.