cytsinghua

cytsinghua

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cytsinghua's repositories

Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

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bigbird

Transformers for Longer Sequences

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PreSumm

code for EMNLP 2019 paper Text Summarization with Pretrained Encoders

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PRIMER

The official code for PRIMER: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization

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rethink_perturbations

Rethinking Perturbations in Encoder-Decoders for Fast Training

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AliceMind

ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

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BERT-GPU

multi-gpu pre-training in one machine for BERT from scratch without horovod

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ChildTuning

Source code for our EMNLP'21 paper 《Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning》

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ConSERT

Code for our ACL 2021 paper - ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer

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DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

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DeepCTR-Torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

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ELR

Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels

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GNNPapers

Must-read papers on graph neural networks (GNN)

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GraphEmbedding

Implementation and experiments of graph embedding algorithms.

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mmdetection

OpenMMLab Detection Toolbox and Benchmark

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recommendation_model

练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM等

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sentence-transformers

Multilingual Sentence & Image Embeddings with BERT

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SimCSE

(EMNLP'2021) SimCSE: Simple Contrastive Learning of Sentence Embeddings

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SPACES-Pytorch

苏神SPACE pytorch版本复现

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summarus

Models for automatic abstractive summarization

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SummerTime

An open-source text summarization toolkit for non-experts.

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