Jun 4, 2019 · In this work, we propose a near lossless method for encoding long sequences of texts as well as all of their sub-sequences into feature rich ...
In this work, we propose a near lossless method for encoding long sequences of texts as well as all of their sub-sequences into feature rich representations. We ...
In this work, we propose a near lossless method for encoding long sequences of texts as well as all of their sub-sequences into feature rich representations 1 1 ...
dataset_generator.py can be used to generate a hdf5 dataset file from a text file of tokenized sentences, one per line.
In this work, we propose a near lossless method for encoding long sequences of texts as well as all of their sub-sequences into feature rich representations. We ...
Mar 11, 2023 · To answer a separate but closely related question, lossless compression is possible for some files but not all files. If a reversible encoding ...
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One key benefit of lossless encoding is that it allows for repeated compression and decompression without degrading the quality of the original data.
Jan 9, 2023 · It is able to compress text with a couple algorithms. Namely (from what I can tell): Gzip, Bzip2, LZMA, LZ4, and Zstandard.
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Duration: 6:23
Posted: Aug 21, 2021
Posted: Aug 21, 2021
Lossy compression or irreversible compression is the class of data compression methods that uses inexact approximations and partial data discarding to ...