Code implementation for the paper "Large-scale Pre-training for Grounded Video Caption Generation" (ICCV 2025)
HSIMAE: A Unified Masked Autoencoder with large-scale pretraining for Hyperspectral Image Classification
Contains my experiments with the `big_vision` repo to train ViTs on ImageNet-1k.
TimeRAN is a unified time-series foundation model for RAN analytics, pretrained on the large-scale TimeRAN DataPile to learn transferable representations. It enables anomaly detection, classification, forecasting, and imputation through a shared backbone and lightweight task-specific heads.
A PySpark repository for data analysis, machine learning projects, and hands-on exercises. Explore scalable data processing and advanced ML workflows with Spark.
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