Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/pkmital/dance2dance
Discrete Figures AI: Seq2Seq of Dance Data (Mikiko + Daito Manabe + Kyle McDonald)
https://github.com/pkmital/dance2dance
ai dance learning machine seq2seq
Last synced: 2 months ago
JSON representation
Discrete Figures AI: Seq2Seq of Dance Data (Mikiko + Daito Manabe + Kyle McDonald)
- Host: GitHub
- URL: https://github.com/pkmital/dance2dance
- Owner: pkmital
- License: apache-2.0
- Created: 2018-03-31T00:24:20.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2022-10-17T22:14:14.000Z (about 2 years ago)
- Last Synced: 2024-04-17T23:58:54.510Z (9 months ago)
- Topics: ai, dance, learning, machine, seq2seq
- Language: Python
- Homepage:
- Size: 47.9 KB
- Stars: 61
- Watchers: 6
- Forks: 10
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# dance2dance
Discrete Figures AI: Seq2Seq of Dance Data (Mikiko + Daito Manabe + Kyle McDonald)This repo contains the code I developed for a custom seq2seq model to encode / decode motion capture data for the Discrete Figures performance in 2018 at Gray Area, San Francisco, CA. For more information on the technical aspects, please refer to Kyle McDonald's [medium post](https://medium.com/@kcimc/discrete-figures-7d9e9c275c47)