TextRank-nodeNo description or website provided.
Stars: ✭ 21 (-41.67%)
Textrank4zh🌳从中文文本中自动提取关键词和摘要
Stars: ✭ 2,518 (+6894.44%)
SentimentAnalysis(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset
Stars: ✭ 40 (+11.11%)
SpectrumSpectrum is an AI that uses machine learning to generate Rap song lyrics
Stars: ✭ 37 (+2.78%)
Intelligent-Bangla-typing-assistantArtificially intelligent typing assistant that suggest the next word using user typing history and full sentence using LSTM . Works with any environment (MS word, notepad, coding IDEs or anything)
Stars: ✭ 13 (-63.89%)
lstm-mathNeural network that solves math equations on the character level
Stars: ✭ 26 (-27.78%)
voice zaloaidentifying gender and regional accent from speech
Stars: ✭ 35 (-2.78%)
extkerasPlayground for implementing custom layers and other components compatible with keras, with the purpose to learn the framework better and perhaps in future offer some utils for others.
Stars: ✭ 18 (-50%)
deep-transTransliterating English to Hindi using Recurrent Neural Networks
Stars: ✭ 44 (+22.22%)
Robust-Deep-Learning-PipelineDeep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)
Stars: ✭ 20 (-44.44%)
dnn-lstm-word-segmentChinese Word Segmention Base on the Deep Learning and LSTM Neural Network
Stars: ✭ 24 (-33.33%)
CharLSTMBidirectional Character LSTM for Sentiment Analysis - Tensorflow Implementation
Stars: ✭ 49 (+36.11%)
air writingOnline Hand Writing Recognition using BLSTM
Stars: ✭ 26 (-27.78%)
ntua-slp-semeval2018Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.
Stars: ✭ 79 (+119.44%)
myDLDeep Learning
Stars: ✭ 18 (-50%)
novel writerTrain LSTM to writer novel (HongLouMeng here) in Pytorch.
Stars: ✭ 14 (-61.11%)
Show and TellShow and Tell : A Neural Image Caption Generator
Stars: ✭ 74 (+105.56%)
OCROptical character recognition Using Deep Learning
Stars: ✭ 25 (-30.56%)
CS231nPyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
Stars: ✭ 47 (+30.56%)
theano-recurrenceRecurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano
Stars: ✭ 40 (+11.11%)
extra-modelCode to run the ExtRA algorithm for unsupervised topic/aspect extraction on English texts.
Stars: ✭ 43 (+19.44%)
AttentionRepository for Attention Algorithm
Stars: ✭ 39 (+8.33%)
simple NERsimple rule based named entity recognition
Stars: ✭ 29 (-19.44%)
Patient2VecPatient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
Stars: ✭ 85 (+136.11%)
sequence-rnn-pySequence analyzing using Recurrent Neural Networks (RNN) based on Keras
Stars: ✭ 28 (-22.22%)
SentimentAnalysisSentiment Analysis: Deep Bi-LSTM+attention model
Stars: ✭ 32 (-11.11%)
Simple-TensorA simplification of Tensorflow Tensor Operations
Stars: ✭ 17 (-52.78%)
keras-deep-learningVarious implementations and projects on CNN, RNN, LSTM, GAN, etc
Stars: ✭ 22 (-38.89%)
LearningMetersPoemsOfficial repo of the article: Yousef, W. A., Ibrahime, O. M., Madbouly, T. M., & Mahmoud, M. A. (2019), "Learning meters of arabic and english poems with recurrent neural networks: a step forward for language understanding and synthesis", arXiv preprint arXiv:1905.05700
Stars: ✭ 18 (-50%)
SpeakerDiarization RNN CNN LSTMSpeaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).
Stars: ✭ 56 (+55.56%)
ConvLSTM-PyTorchConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
Stars: ✭ 202 (+461.11%)
deep-char-cnn-lstmDeep Character CNN LSTM Encoder with Classification and Similarity Models
Stars: ✭ 20 (-44.44%)
object-trackingMultiple Object Tracking System in Keras + (Detection Network - YOLO)
Stars: ✭ 89 (+147.22%)
datastories-semeval2017-task6Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".
Stars: ✭ 20 (-44.44%)
Learning-Lab-C-LibraryThis library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated
Stars: ✭ 20 (-44.44%)
bert-squeeze🛠️ Tools for Transformers compression using PyTorch Lightning ⚡
Stars: ✭ 56 (+55.56%)
Speech-RecognitionEnd-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
Stars: ✭ 21 (-41.67%)
traffic-predictionPredict traffic flow with LSTM. For experimental purposes only, unsupported!
Stars: ✭ 47 (+30.56%)
alter-nluNatural language understanding library for chatbots with intent recognition and entity extraction.
Stars: ✭ 45 (+25%)
MachineLearningImplementations of machine learning algorithm by Python 3
Stars: ✭ 16 (-55.56%)
fiction generatorFiction generator with Tensorflow. 模仿王小波的风格的小说生成器
Stars: ✭ 27 (-25%)
weibo-summary微博自动摘要系统 Chinese Microblog Automatic Summary System
Stars: ✭ 28 (-22.22%)