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fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

flow-functions

Flow function examples for flows.network

icdar2019_ctdar

The ICDAR 2019 cTDaR is to evaluate the performance of methods for table detection (TRACK A) and table recognition (TRACK B). For the first track, document images containing one or several tables are provided. For TRACK B two subtracks exist: the first subtrack (B.1) provides the table region. Thus, only the table structure recognition must be performed. The second subtrack (B.2) provides no a-priori information. This means, the table region and table structure detection has to be done.

kleister-charity

kleister-nda

kosmos2-5_fairseq

kosmos2-5_infinibatch

kosmos2-5_tools

kosmos2-5_torchscale

leetcode

nlp-practice-program

力求囊括主流NLP模型练手项目，不断更新中

statistical-learning-method_code

手写实现李航《统计学习方法》书中全部算法

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

vt-ssum