AI-generated-characters for Learning and Wellbeing

Last update: Jan 01, 2023

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Overview

AI-generated-characters for Learning and Wellbeing

Click here for the full project page.

This repository contains the source code for the paper AI-generated characters for supporting personalized learning and well-being by Pat Pataranutaporn, Valdemar Danry, Joanne Leong, Parinya Punpongsanon, Dan Novy, Pattie Maes & Misha Sra. This repository is a combination previous work on AI generated characters that include Siarohin et al., Prajwal et al., and Corentin.

Colab Demo

The code is available on google-colab. See: AI_Generated_Characters.ipynb. To run press Open In Colab button.

Examples of Outputs

With the pipeline, one can easily create a video of AI-generated characters from Video, Audio, and Text input (text is coming soon).

Owner

MIT Media Lab

GitHub Repository

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AI-generated-characters for Learning and Wellbeing

Related tags

Overview

AI-generated-characters for Learning and Wellbeing

Colab Demo

Examples of Outputs

Owner

MIT Media Lab

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

This is the repository for paper NEEDLE: Towards Non-invertible Backdoor Attack to Deep Learning Models.

Winners of DrivenData's Overhead Geopose Challenge

For IBM Quantum Challenge Africa 2021, 9 September (07:00 UTC) - 20 September (23:00 UTC).

Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020

A list of all named GANs!

I-SECRET: Importance-guided fundus image enhancement via semi-supervised contrastive constraining

A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling"

Drslmarkov - Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks

Spline is a tool that is capable of running locally as well as part of well known pipelines like Jenkins (Jenkinsfile), Travis CI (.travis.yml) or similar ones.

HAR-stacked-residual-bidir-LSTMs - Deep stacked residual bidirectional LSTMs for HAR

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Measuring and Improving Consistency in Pretrained Language Models

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