nihaowxh's starred repositories

unilm

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

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multimodal

TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.

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TripletProt

Deep Representation Learning of Proteins based on Siamese Networks

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CPCProt

Parameter-efficient embeddings for proteins, pretrained using a contrastive loss.

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pytorch-summary

Model summary in PyTorch similar to `model.summary()` in Keras

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neurips19-graph-protein-design

Generative Models for Graph-Based Protein Design

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gvp-pytorch

Geometric Vector Perceptrons --- a rotation-equivariant GNN for learning from biomolecular structure

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torchdrug

A powerful and flexible machine learning platform for drug discovery

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paper-reading

深度学习经典、新论文逐段精读

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MMRNS

Code of the paper Relation-enhanced Negative Sampling for Multimodal Knowledge Graph Completion (ACM MM22))

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pykeen

🤖 A Python library for learning and evaluating knowledge graph embeddings

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MMGL

Multi-modal Graph learning for Disease Prediction (IEEE Trans. on Medical imaging, TMI2022)

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dgl-ke

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

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pyHGT

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

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OntoProtein

[ICLR 2022] OntoProtein: Protein Pretraining With Gene Ontology Embedding

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qagnn

[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖

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BERT-based-Summ

BERT-based Biomedical Text Summarizer

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scifact

Data and models for the SciFact verification task.

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detecting-scientific-claim

Extracting scientific claims from biomedical abstracts (powered by AllenNLP)

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pytextrank

Python implementation of TextRank algorithms ("textgraphs") for phrase extraction

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isimp

A sentence simplification system

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KGen

Knowledge graphs generation from unstructured text.

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Seq2KG

A neural model for knowledge graph construction from text.

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AutoSubClause

Automatic subordinate clause extractor

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