hongjian Goto Github PK
Name: Hongjian
Type: User
Company: Baidu
Location: Beijing, China
Name: Hongjian
Type: User
Company: Baidu
Location: Beijing, China
This repository contains source code for the TaBERT model, a pre-trained language model for learning joint representations of natural language utterances and (semi-)structured tables for semantic parsing. TaBERT is pre-trained on a massive corpus of 26M Web tables and their associated natural language context, and could be used as a drop-in replacement of a semantic parsers original encoder to compute representations for utterances and table schemas (columns).
Tabula is a tool for liberating data tables trapped inside PDF files
Computation using data flow graphs for scalable machine learning
Tensorflow tutorial from basic to hard
tensorflow2.0 实现的 DCN (Deep & Cross Network) ,使用 Criteo 子数据集加以实践。
tensorflow2.0 实现的 DeepFM,使用 Criteo 子数据集加以实践。
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