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TestRepository Public
Data in the paper entitled 'A Literature Mining Method of Fusing Text and Table Extraction in Materials Science'
MIT License UpdatedApr 11, 2023 -
SimpleNES Public
Forked from amhndu/SimpleNESAn NES emulator in C++
C++ GNU General Public License v3.0 UpdatedSep 24, 2022 -
sentence-transformers Public
Forked from UKPLab/sentence-transformersMultilingual Sentence & Image Embeddings with BERT
Python Apache License 2.0 UpdatedSep 29, 2021 -
bert Public
Forked from google-research/bertTensorFlow code and pre-trained models for BERT
Python Apache License 2.0 UpdatedSep 11, 2021 -
Dive-into-DL-PyTorch Public
Forked from ShusenTang/Dive-into-DL-PyTorch本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Jupyter Notebook Apache License 2.0 UpdatedAug 11, 2021 -
pytorch-handbook Public
Forked from zergtant/pytorch-handbookpytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
Jupyter Notebook UpdatedAug 7, 2021 -
pytorch-NER Public
Forked from SenseKnowledge/pytorch-NERRoBERTa + BiLSTM + CRF for Chinese NER Task
Python UpdatedJul 5, 2021 -
PolyEncoder Public
Forked from sfzhou5678/PolyEncoderAn unofficial implementation of Poly-encoder (Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring)
Python UpdatedJun 9, 2021 -
BERT-pytorch Public
Forked from codertimo/BERT-pytorchGoogle AI 2018 BERT pytorch implementation
Python Apache License 2.0 UpdatedApr 25, 2021 -
detr Public
Forked from facebookresearch/detrEnd-to-End Object Detection with Transformers
Python Apache License 2.0 UpdatedApr 18, 2021 -
mat2vec Public
Forked from materialsintelligence/mat2vecSupplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).
Python MIT License UpdatedMar 25, 2021 -
bi-lstm-crf Public
Forked from jidasheng/bi-lstm-crfA PyTorch implementation of the BI-LSTM-CRF model.
Python MIT License UpdatedMar 4, 2021 -
EasyOCR Public
Forked from JaidedAI/EasyOCRReady-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Python Apache License 2.0 UpdatedJan 14, 2021 -
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IT_book Public
Forked from guoxp/IT_book本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍,没准你想找的书就在这里呢,包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列(常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习,深度学习等等),大数据系列(Spark,Hadoop,Scala,kafka等),程序员必修系列(C、C++、java、数据结构、linux,设计模式、数据库等等)
UpdatedNov 28, 2020 -
dict Public
Forked from kajweb/dict英语字典 英语词库 字典词库 四级单词 六级单词 考研单词 雅思 托福 SAT GMAT TOEFL GRE
Python UpdatedSep 12, 2020 -
pumpkin-book Public
Forked from datawhalechina/pumpkin-book《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book
Other UpdatedJul 21, 2020 -
lihang-code Public
Forked from fengdu78/lihang-code《统计学习方法》的代码实现
Jupyter Notebook UpdatedJul 15, 2020 -
Statistical-Learning-Method_Code Public
Forked from Dod-o/Statistical-Learning-Method_Code手写实现李航《统计学习方法》书中全部算法
Python UpdatedMay 23, 2020 -
deep-learning-papers-translation Public
Forked from SnailTyan/deep-learning-papers-translation深度学习论文翻译,包括分类论文,检测论文等
UpdatedMay 22, 2020 -
Latex_OCR_Pytorch Public
Forked from qs956/Latex_OCR_Pytorch基于Pytorch实现的End-to-End图像Latex公式识别 inspire by LinXueyuanStdio/LaTeX_OCR_PRO
Python GNU Affero General Public License v3.0 UpdatedApr 6, 2020 -
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spring-boot Public
Forked from spring-projects/spring-bootSpring Boot
Java Apache License 2.0 UpdatedJan 1, 2020 -
SpringMVCDemo Public
Forked from gaussic/SpringMVCDemoThis is a demo of my spring mvc project.
Java MIT License UpdatedOct 12, 2019 -
text_matching Public
Forked from terrifyzhao/text_matching常用文本匹配模型tf版本,数据集为QA_corpus,持续更新中
Python Apache License 2.0 UpdatedOct 12, 2019 -
NER-BERT-pytorch Public
Forked from lemonhu/NER-BERT-pytorchPyTorch solution of named entity recognition task Using Google AI's pre-trained BERT model.
Python MIT License UpdatedMar 24, 2019 -
Machine-learning-learning-notes Public
Forked from Vay-keen/Machine-learning-learning-notes周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!
UpdatedOct 18, 2018