ashutosh1919/data2vec-pytorch
Ready to run PyTorch implementation of Data2Vec 2.0: Highly efficient self-supervised representation learning for vision, speech and text.
This project helps machine learning researchers and engineers quickly set up and train self-supervised models for various data types. It takes raw image datasets like ImageNet, speech audio like LibriSpeech, or text corpora like OpenWebText as input. The output is a trained representation model ready for further downstream tasks in computer vision, speech recognition, or natural language processing.
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Use this if you are a machine learning researcher or engineer looking for a ready-to-use, efficient implementation to train self-supervised representation models for images, speech, or text.
Not ideal if you are not familiar with training deep learning models or do not have access to a CUDA-enabled GPU.
Stars
16
Forks
3
Language
Python
License
MIT
Category
Last pushed
Mar 29, 2023
Commits (30d)
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