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Harbin Institute Of Technology
- Harbin
- ksboy.github.io
Starred repositories
embedx 是基于 c++ 开发的、完全自研的分布式 embedding 训练和推理框架。它目前支持 图模型、深度排序、召回模型和图与排序、图与召回的联合训练模型等
搜索、推荐、广告、用增等工业界实践文章收集(来源:知乎、Datafuntalk、技术公众号)
Large Language Model-enhanced Recommender System Papers
Examples and guides for using the OpenAI API
MLNLP: Paper Picture Writing Code
Experiments with supervised contrastive learning methods with different loss functions
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
A curated list of resources for Learning with Noisy Labels
An update-to-date list for papers related with label-noise representation learning is here.
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
PyGCL: A PyTorch Library for Graph Contrastive Learning
A list of Contrastive Learning Papers&Codes. Unsupervised: MoCo/SimCLR/SwAV/BYOL/SimSiam
Collection of papers and resources for data augmentation for NLP.
PyTorch implementation of the paper: Vector Projection Network for Few-shot Slot Tagging in Natural Language Understanding. Su Zhu, Ruisheng Cao, Lu Chen and Kai Yu.
An efficient implementation of the popular sequence models for text generation, summarization, and translation tasks. https://arxiv.org/pdf/2106.04718.pdf
NEZHA: Neural Contextualized Representation for Chinese Language Understanding
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP
Must-read papers on prompt-based tuning for pre-trained language models.
Code for our ACL 2021 paper - ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
Reading list for research topics in multimodal machine learning
novel deep learning research works with PaddlePaddle