The 🌏 data science library you've been waiting for~
SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batching, and more. Supports datasets from Huggingface, torchdata iterables, or simple lists of dictionaries.
High-level API for tar-based dataset
AutoRec: Autoencoders Meet Collaborative Filtering implementation in PyTorch
Change detection for Burned area Delineation (ChaBuD) ECML/PKDD 2023 challenge
一个lightning风格的精排轮子
Utilities for time series with PyTorch
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