Ian Cunningham (not-Ian)

not-Ian

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Location:St. Louis, Missouri

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Ian Cunningham's starred repositories

keras-transformer

Keras library for building (Universal) Transformers, facilitating BERT and GPT models

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STTN

[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting

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nano-docs

Documentation for the Nano protocol

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nano-node

Nano is digital currency. Its ticker is: XNO and its currency symbol is: Ӿ

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Seamly2D

Open source patternmaking software to democratize fashion.

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DenseDepth

High Quality Monocular Depth Estimation via Transfer Learning

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ALAE

[CVPR2020] Adversarial Latent Autoencoders

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ffmpeg-libav-tutorial

FFmpeg libav tutorial - learn how media works from basic to transmuxing, transcoding and more. Translations: 🇺🇸 🇨🇳 🇰🇷 🇪🇸 🇻🇳 🇧🇷

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python-moshion

Datamoshing Motion - a command line wrapper to ffmpeg used to datamosh two image sequences

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moshy

datamoshing utility kit for common tasks with AVI files

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split-vae

Original implementation of Separated Paths for Local and Global Information framework (SPLIT) in TensorFlow 2.

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openmiir

a public domain dataset of EEG recordings for music imagery information retrieval

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EEGLearn

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

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EEG-Classification

This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.

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keras-tcn

Keras Temporal Convolutional Network.

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Parrot

Parrot is a compile-time Mock Generator for Swift - written completely in Swift. It's geared towards use in Xcode and works for any kind of swift project (e.g. server side, iOS, or command line tools). The mock structure is modeled off of the sinon.js APIs

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NALU-Keras

A keras implementation of [Neural Arithmetic Logic Units](https://arxiv.org/pdf/1808.00508.pdf) by Andrew et. al.

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CrowdLayer

A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with different biases and levels of expertise.

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magenta-demos

Demonstrations of Magenta Models

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DCGAN-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

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Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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core

Decentralized Fog Computing Platform

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how_to_generate_images

This is the code for "How to Generate Images - Intro to Deep Learning #14' by Siraj Raval on YouTube

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pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

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sidenet

SideNet: Neural Extractive Summarization with Side Information

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hed

code for Holistically-Nested Edge Detection

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models

Models and examples built with TensorFlow

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imgaug

Image augmentation for machine learning experiments.

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