Shulin Cao

Neural Relation Extraction implemented in PyTorch

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Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

This is a record for my computer graphics course in Beijing Normal University

KoPL Engine Dev

Tensors and Dynamic neural networks in Python with strong GPU acceleration

This is a record for my paper notes.

Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

A machine translation reading list maintained by Tsinghua Natural Language Processing Group

Shared repository for open-sourced projects from the Google AI Language team.

Parse natural language into executable programs

Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

A curated resource for taxonomy research

Neural Relation Extraction implemented with LSTM in TensorFlow

Pytorch implementation of EMNLP 2021 paper "TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph "

novel deep learning research works with PaddlePaddle

Taxonomy induction for XLORE

No description.