guorongdaku

guorongdaku's Stars

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python136k1.1k16.3k27.3k

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python38.4k1k1.1k9.6k

• macanv/BERT-BiLSTM-CRF-NER

  Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

  Language:Python4.7k933871.3k

• PaddlePaddle/Research

  novel deep learning research works with PaddlePaddle

  Language:Python1.7k49150788

• yuanxiaosc/Entity-Relation-Extraction

  Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取，2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019

  Language:Python1.2k2579272

• ZeweiChu/PyTorch-Course

  JULYEDU PyTorch Course

  Language:Jupyter Notebook1.1k266516

• LYuhang/GNN_Review

  GNN综述阅读报告

  Language:Jupyter Notebook884203214

• wingsweihua/colight

  CoLight: Learning Network-level Cooperation for Traffic Signal Control

  Language:Python16454258

• lvjianxin/Relationship-extraction

  中文关系抽取

  Language:Python1378836

• mukhal/xlm-roberta-ner

  Named Entity Recognition with Pretrained XLM-RoBERTa

  Language:Python876528

• Chiang97912/DGCNN

  Dilate Gated Convolutional Neural Network For Machine Reading Comprehension

  Language:Python392117

• Rshcaroline/FDU-Artificial-Intelligence

  This is a repo including all projects and labs in my Artificial Intelligence course (DATA130008.01) in School of Data Science @Fudan University.

  Language:Python272014

• siyuyuan/Neural-Network-and-Deep-Learning

  DATA130011 Neural Network and Deep Learning

  Language:Jupyter Notebook9001

• ben-bougher/CPSC540

  This repository is a place to jointly develop the best code for CPSC540 assignments. I will post either my implementations, or something from the professor or the TA, then the code can be revised until we agree on the best implementation.

  Language:MATLAB3402

• guorongdaku/Inductive-Matrix-Completion

  we proposed a type of inductive matrix completion with trace norm regularizer, and presented two practical method for solving trace norm based IMC optimization problem. Using two different tasks and four different benchmark tasks, We showed the max-norm can often be superior to established trace-norm regularization.

  Language:MATLAB1000

• HongweiN/stanford-cs-221-artificial-intelligence

  VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

  1100

• WWXkenmo/Inductive-Matrix-Completion

  we proposed a type of inductive matrix completion with trace norm regularizer, and presented two practical method for solving trace norm based IMC optimization problem. Using two different tasks and four different benchmark tasks, We showed the max-norm can often be superior to established trace-norm regularization.

  Language:MATLAB1102