zjcanjux

zjcanjux

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Company:Shanghai Jiaotong University

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zjcanjux's repositories

daguan_ner_Bert_bilstm_crf

达观算法比赛ner任务,从重新训练bert,到finetune预测。

RNN_Joint_NLU_Chinese

Train Joint_NLU model using Chinese 中文意图和槽联合模型 tensorflow实现和pytorch实现

DeepLearning-Wangshu

B站,小红书,知乎同名

torch-geometric-tutorial

pytorch geometric tutorial/ pytorch geometric 教程/pytorchgeometric tutorial/ pytorchgeometric 教程

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Sentence_embedding

Unsupervised Sentence Embeddings 句向量,非监督方法生成句向量 USIF,相似度分析

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nlp_paper_study

研读顶会论文,复现论文相关代码

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AI_Tutorial

精华机器学习,NLP,图像识别, 深度学习等人工智能领域学习资料,搜索,推荐,广告系统架构及算法技术资料整理

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annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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awesome-causality-algorithms

An index of algorithms for learning causality with data

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awesome-knowledge-graph

整理知识图谱相关学习资料

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BERT-related-papers

BERT-related papers

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causality

Tools for causal analysis

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chatbot-list

行业内关于智能客服、聊天机器人的应用和架构、算法分享和介绍

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Chatette

A powerful dataset generator for Rasa NLU, inspired by Chatito

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CS-Book

计算机类常用电子书整理,并且附带下载链接,包括Java,Python,Linux,Go,C,C++,数据结构与算法,人工智能,计算机基础,面试,设计模式,数据库,前端等书籍

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effective-java-3rd-chinese

effective-java-3rd 中文版 https://sjsdfg.github.io/effective-java-3rd-chinese

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free-programming-books-zh_CN

:books: 免费的计算机编程类中文书籍,欢迎投稿

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GNNPapers

Must-read papers on graph neural networks (GNN)

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graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

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KGE

Some papers on Knowledge Graph Embedding(KGE)

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Med-ChatGLM

Repo for Chinese Medical ChatGLM

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MTBook

《机器翻译:基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models

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NL2SQL

Text2SQL 语义解析数据集、解决方案、paper资源整合项目

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OpenCLaP

Open Chinese Language Pre-trained Model Zoo

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Top-AI-Conferences-Paper-with-Code

Top-Conferences-Paper-with-Code (ACL、EMNLP、NAACL、COLING、AAAI、IJCAI、NeurIPS、ICLR and etc)

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transformers-interpret

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

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trygit

git try

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