Mryeshuai's Stars
996icu/996.ICU
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
d2l-ai/d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
keras-team/keras
Deep Learning for humans
brightmart/text_classification
all kinds of text classification models and more with deep learning
crownpku/Information-Extraction-Chinese
Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取
GauravBh1010tt/DeepLearn
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
allenai/bilm-tf
Tensorflow implementation of contextualized word representations from bi-directional language models
allenai/bi-att-flow
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
dalinvip/cnn-lstm-bilstm-deepcnn-clstm-in-pytorch
In PyTorch Learing Neural Networks Likes CNN、BiLSTM
burness/tensorflow-101
learn code with tensorflow
MachineLP/TextMatch
QAmatch(qa_match)/文本匹配/文本分类/文本embedding/文本聚类/文本检索(bow/ifidf/ngramtf-df/bert/albert/bm25/…/nn/gbdt/xgb/kmeans/dscan/faiss/….)
facebookarchive/NAMAS
Neural Attention Model for Abstractive Summarization
ilivans/tf-rnn-attention
Tensorflow implementation of attention mechanism for text classification tasks.
linanqiu/word2vec-sentiments
Tutorial for Sentiment Analysis using Doc2Vec in gensim (or "getting 87% accuracy in sentiment analysis in under 100 lines of code")
jiegzhan/multi-class-text-classification-cnn-rnn
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
Zardinality/WGAN-tensorflow
a tensorflow implementation of WGAN
AimeeLee77/wiki_zh_word2vec
利用Python构建Wiki中文语料词向量模型试验
pmsosa/CS291K
🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models
geniusai-research/Text-Classification
Text Classification through CNN, RNN & HAN using Keras
mpk001/Sentiment_analysis
使用深度学习方法对IMDB电影评价做情感分析,使用的方法分别为:MLP、BiRNN、BiGRU+Attention Model
indiejoseph/doc-han-att
Hierarchical Attention Networks for Chinese Sentiment Classification
leuchine/S-LSTM
Code for the paper: Sentence-State LSTM for Text Representation
heshenghuan/LSTM-CRF
A (CNN+)RNN(LSTM/BiLSTM)+CRF model for sequence labelling.:smirk:
YCG09/tf-text-classification
CNN and RNN with Attention for Chinese Text Classification in Tensorflow
indiejoseph/chinese-char-rnn
Character-Level language models
DeepakSridhar/Deep-Learning-Coursera
This repository contains the programming assignments for Deep Learning specialization courses by Andrew Ng. It deals with the following concepts. DNNs, Hyperparameter tuning, Regularization, Optimization, CNNs (LeNet5, AlexNet, VGG, ResNet, Inception Network), Transfer Learning (Neural Style Transfer), RNNs (LSTM, GRU) and Structuring Machine Learning Projects.
jind11/sentence-classification
Implementation of sentence classification using CNN, CNN-RNN, fasttext, etc.
Wind-Ward/Yun_Cup
"Yun Cup" Scenic Reputation Evaluation Score Forecast 3th Solution
Shuailong/SentenceClassifier
PyTorch Sentence Classifier (CNN RNN)
solisolid/HATT
Text classifier for Hierarchical Attention Networks for Document Classification