GitHub / vonexel / smog
Pytorch implementation of Semantic Motion Generation - motion synthesis from text via CLIP & Kolmogorov-Arnold-Networks
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vonexel%2Fsmog
PURL: pkg:github/vonexel/smog
Stars: 2
Forks: 0
Open issues: 0
License: mit
Language: Python
Size: 4.54 MB
Dependencies parsed at: Pending
Created at: 4 months ago
Updated at: 2 months ago
Pushed at: 2 months ago
Last synced at: 2 months ago
Topics: autoencoder, autoencoder-neural-network, clip, deep-learning, encoder-decoder-model, kanformers, kolmogorov-arnold-networks, motion-synthesis, natural-language-processing, python, pytorch, torch, torchvision, transformers