JJJJane's Stars
microsoft/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
yg211/bert_nli
A Natural Language Inference (NLI) model based on Transformers (BERT and ALBERT)
syhw/wer_are_we
Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.
fredrikwahlberg/5LN445
5LN445 Mathematics for Language Technologists, 7.5 c
sunjincheng121/know_how_know_why
For every learner
tao-shen/Federated-Learning-FAQ
icml-2020-nlp/semsim
codertimo/BERT-pytorch
Google AI 2018 BERT pytorch implementation
kanyun-inc/fairseq-gec
Source code for paper: Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data
nusnlp/mlconvgec2018
Code and model files for the paper: "A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction" (AAAI-18).
LDNOOBW/List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words
List of Dirty, Naughty, Obscene, and Otherwise Bad Words
abisee/cnn-dailymail
Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization
vikasnar/Bleu
Calculate the Bleu Score for Machine Translated Text.
chuanconggao/PrefixSpan-py
The shortest yet efficient Python implementation of the sequential pattern mining algorithm PrefixSpan, closed sequential pattern mining algorithm BIDE, and generator sequential pattern mining algorithm FEAT.
jadore801120/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
husthuke/awesome-knowledge-graph
整理知识图谱相关学习资料
JasonForJoy/ESIM-NLI
Implementation of the ESIM model for natural language inference with Tensorflow
HsiaoYetGun/ESIM
TensorFlow implementation of the ESIM model (Enhanced LTSM for natural language inference)
lukecq1231/nli
Enhanced LTSM for natural language inference
oceanypt/A-DEEP-REINFORCED-MODEL-FOR-ABSTRACTIVE-SUMMARIZATION
Pytorch implementation for paper of "A DEEP REINFORCED MODEL FOR ABSTRACTIVE SUMMARIZATION". https://arxiv.org/abs/1705.04304
sebastianGehrmann/bottom-up-summary
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
vahidk/EffectiveTensorflow
TensorFlow tutorials and best practices.
qq209096727/Recommondation-System
一些传统推荐算法的实现,包括基于内容的推荐,协同过滤,矩阵分解
stanfordnlp/GloVe
Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings
HydraRobot/attention_RNN_for_textsum
This is to reproduce article <A DEEP REINFORCED MODEL FOR ABSTRACTIVE SUMMARIZATION>
yaserkl/RLSeq2Seq
Deep Reinforcement Learning For Sequence to Sequence Models
yangxi0126/javaScript
前端特效存档