MimickCode for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)
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Image Caption Generator[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
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Daguan 2019 rank9datagrand 2019 information extraction competition rank9
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VadVoice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.
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Rnn recsysOur implementation of the paper "Embedding-based News Recommendation for Millions of Users"
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Text-AnalysisExplaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.
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Tensorflow Lstm SinTensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction
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ML2017FALLMachine Learning (EE 5184) in NTU
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Awesome Deep Learning ResourcesRough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier
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knowledge-graph-nlp-in-action从模型训练到部署,实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Information Extraction,Relation Extraction 等任务。
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DeepSentiPersRepository for the experiments described in the paper named "DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus"
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Indrnn Pytorchpytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831
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EasyocrReady-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
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ContextConText v4: Neural networks for text categorization
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Ai Reading MaterialsSome of the ML and DL related reading materials, research papers that I've read
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Deeplearning深度学习入门教程, 优秀文章, Deep Learning Tutorial
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Rnn Nmt基于双向RNN,Attention机制的编解码神经机器翻译模型
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Stock-PredictionLSTM RNN for sentiment-based stock prediction
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SsunSpectral-Spatial Unified Networks for Hyperspectral Image Classification
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CodeECG Classification
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Ner LstmNamed Entity Recognition using multilayered bidirectional LSTM
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Deep Learning ResourcesA Collection of resources I have found useful on my journey finding my way through the world of Deep Learning.
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Qa使用深度学习算法实现的中文问答系统
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Avsr Deep SpeechGoogle Summer of Code 2017 Project: Development of Speech Recognition Module for Red Hen Lab
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Stock Market Prediction Web App Using Machine Learning And Sentiment AnalysisStock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
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Lstm CrfA (CNN+)RNN(LSTM/BiLSTM)+CRF model for sequence labelling.😏
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Char Rnn KerasTensorFlow implementation of multi-layer recurrent neural networks for training and sampling from texts
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Machine-LearningThe projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.
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Pytorch gbw lmPyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset
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HeadlinesAutomatically generate headlines to short articles
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ScrambleTestsRunning compostionality tests on InferSent embedding on SNLI
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Manhattan-LSTMKeras and PyTorch implementations of the MaLSTM model for computing Semantic Similarity.
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Boilerplate Dynet Rnn LmBoilerplate code for quickly getting set up to run language modeling experiments
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Stock RnnPredict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
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Ml5 LibraryFriendly machine learning for the web! 🤖
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Deep Learning With PythonExample projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
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IndrnnTensorFlow implementation of Independently Recurrent Neural Networks
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Dreamrnn based model for recommendations
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Mozi此项目致力于构建一套最基础,最精简,可维护的react-native项目,支持ios,android 🌹
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Lstm FcnCodebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
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RganRecurrent (conditional) generative adversarial networks for generating real-valued time series data.
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Musical Neural NetTrain an LSTM to generate piano or violin/piano music.
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AudioowlFast and simple music and audio analysis using RNN in Python 🕵️♀️ 🥁
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