Contains my experiments with the `big_vision` repo to train ViTs on ImageNet-1k.
-
Updated
Jan 16, 2023 - Jupyter Notebook
Contains my experiments with the `big_vision` repo to train ViTs on ImageNet-1k.
HSIMAE: A Unified Masked Autoencoder with large-scale pretraining for Hyperspectral Image Classification
Code implementation for the paper "Large-scale Pre-training for Grounded Video Caption Generation"
A PySpark repository for data analysis, machine learning projects, and hands-on exercises. Explore scalable data processing and advanced ML workflows with Spark.
Add a description, image, and links to the large-scale-pretraining topic page so that developers can more easily learn about it.
To associate your repository with the large-scale-pretraining topic, visit your repo's landing page and select "manage topics."