deep-transTransliterating English to Hindi using Recurrent Neural Networks
Stars: ✭ 44 (+238.46%)
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 (+207.69%)
Robust-Deep-Learning-PipelineDeep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)
Stars: ✭ 20 (+53.85%)
communityÔng Dev Community
Stars: ✭ 64 (+392.31%)
ipymarkupNER, syntax markup visualizations
Stars: ✭ 108 (+730.77%)
SentimentAnalysisSentiment Analysis: Deep Bi-LSTM+attention model
Stars: ✭ 32 (+146.15%)
Simple-TensorA simplification of Tensorflow Tensor Operations
Stars: ✭ 17 (+30.77%)
dnn-lstm-word-segmentChinese Word Segmention Base on the Deep Learning and LSTM Neural Network
Stars: ✭ 24 (+84.62%)
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 (+0%)
parsbert-ner🤗 ParsBERT Persian NER Tasks
Stars: ✭ 15 (+15.38%)
Manhattan-LSTMKeras and PyTorch implementations of the MaLSTM model for computing Semantic Similarity.
Stars: ✭ 28 (+115.38%)
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 (+330.77%)
myDLDeep Learning
Stars: ✭ 18 (+38.46%)
jcrfsuiteJava interface for CRFsuite: http://www.chokkan.org/software/crfsuite/
Stars: ✭ 44 (+238.46%)
deep-char-cnn-lstmDeep Character CNN LSTM Encoder with Classification and Similarity Models
Stars: ✭ 20 (+53.85%)
fsauor2018基于LSTM网络与自注意力机制对中文评论进行细粒度情感分析
Stars: ✭ 36 (+176.92%)
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 (+38.46%)
react-taggyA simple zero-dependency React component for tagging user-defined entities within a block of text.
Stars: ✭ 29 (+123.08%)
CIPBasic exercises of chinese information processing
Stars: ✭ 32 (+146.15%)
novel writerTrain LSTM to writer novel (HongLouMeng here) in Pytorch.
Stars: ✭ 14 (+7.69%)
CS231nPyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
Stars: ✭ 47 (+261.54%)
crf4ja complete Java port of crfpp(crf++)
Stars: ✭ 30 (+130.77%)
rnn2dCPU and GPU implementations of some 2D RNN layers
Stars: ✭ 26 (+100%)
dtsA Keras library for multi-step time-series forecasting.
Stars: ✭ 130 (+900%)
datastories-semeval2017-task6Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".
Stars: ✭ 20 (+53.85%)
crf-segcrf-seg:用于生产环境的中文分词处理工具,可自定义语料、可自定义模型、架构清晰,分词效果好。java编写。
Stars: ✭ 13 (+0%)
lingvo--Ner-ruNamed entity recognition (NER) in Russian texts / Определение именованных сущностей (NER) в тексте на русском языке
Stars: ✭ 38 (+192.31%)
tudienTừ điển tiếng Việt dành cho Kindle
Stars: ✭ 38 (+192.31%)
SpectrumSpectrum is an AI that uses machine learning to generate Rap song lyrics
Stars: ✭ 37 (+184.62%)
keras-crf-layerImplementation of CRF layer in Keras.
Stars: ✭ 76 (+484.62%)
CRFasRNNLayerConditional Random Fields as Recurrent Neural Networks (Tensorflow)
Stars: ✭ 76 (+484.62%)
wink-nerLanguage agnostic named entity recognizer
Stars: ✭ 32 (+146.15%)
bert-squeeze🛠️ Tools for Transformers compression using PyTorch Lightning ⚡
Stars: ✭ 56 (+330.77%)
Computer-Visionimplemented some computer vision problems
Stars: ✭ 25 (+92.31%)
Patient2VecPatient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
Stars: ✭ 85 (+553.85%)
verseagilityRamp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.
Stars: ✭ 23 (+76.92%)
RerankNERNeural Reranking for Named Entity Recognition, accepted as regular paper at RANLP 2017
Stars: ✭ 22 (+69.23%)
troveWeakly supervised medical named entity classification
Stars: ✭ 55 (+323.08%)
Show and TellShow and Tell : A Neural Image Caption Generator
Stars: ✭ 74 (+469.23%)
keras-deep-learningVarious implementations and projects on CNN, RNN, LSTM, GAN, etc
Stars: ✭ 22 (+69.23%)