Pytorch Pos TaggingA tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
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MimickCode for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)
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RdrpostaggerA fast and accurate POS and morphological tagging toolkit (EACL 2014)
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ArticutapiAPI of Articut 中文斷詞 (兼具語意詞性標記):「斷詞」又稱「分詞」,是中文資訊處理的基礎。Articut 不用機器學習,不需資料模型,只用現代白話中文語法規則,即能達到 SIGHAN 2005 F1-measure 94% 以上,Recall 96% 以上的成績。
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Nlp Models TensorflowGathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
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datalinguistStanford CoreNLP in idiomatic Clojure.
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NcrfppNCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
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JumanppJuman++ (a Morphological Analyzer Toolkit)
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QutufQutuf (قُطُوْف): An Arabic Morphological analyzer and Part-Of-Speech tagger as an Expert System.
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Lstm AutoencodersAnomaly detection for streaming data using autoencoders
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Reinforcementlearning AtarigamePytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games
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Handwriting SynthesisImplementation of "Generating Sequences With Recurrent Neural Networks" https://arxiv.org/abs/1308.0850
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EthnicolrPredict Race and Ethnicity Based on the Sequence of Characters in a Name
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Lingopackage lingo provides the data structures and algorithms required for natural language processing
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StockpredictionPlain Stock Close-Price Prediction via Graves LSTM RNNs
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E3d lstme3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond
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Image Caption Generator[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
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Image Caption GeneratorA neural network to generate captions for an image using CNN and RNN with BEAM Search.
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TesseractThis package contains an OCR engine - libtesseract and a command line program - tesseract.
Tesseract 4 adds a new neural net (LSTM) based OCR engine which is focused
on line recognition, but also still supports the legacy Tesseract OCR engine of
Tesseract 3 which works by recognizing character patterns. Compatibility with
Tesseract 3 is enabled by using the Legacy OCR Engine mode (--oem 0).
It also needs traineddata files which support the legacy engine, for example
those from the tessdata repository.
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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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SudachidictA lexicon for Sudachi
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JlmA fast LSTM Language Model for large vocabulary language like Japanese and Chinese
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Rnn Text Classification TfTensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification
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Lstm CrfA (CNN+)RNN(LSTM/BiLSTM)+CRF model for sequence labelling.😏
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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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Document Classifier LstmA bidirectional LSTM with attention for multiclass/multilabel text classification.
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Lstms.pthPyTorch implementations of LSTM Variants (Dropout + Layer Norm)
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Abstractive SummarizationImplementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.
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ExermoteUsing Machine Learning to predict the type of exercise from movement data
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Numpy MlMachine learning, in numpy
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Chinese Chatbot中文聊天机器人,基于10万组对白训练而成,采用注意力机制,对一般问题都会生成一个有意义的答复。已上传模型,可直接运行,跑不起来直播吃键盘。
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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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VpilotScripts and tools to easily communicate with DeepGTAV. In the future a self-driving agent will be implemented.
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Repo 2016R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation
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PynlpA pythonic wrapper for Stanford CoreNLP.
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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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See RnnRNN and general weights, gradients, & activations visualization in Keras & TensorFlow
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Pytorch convlstmconvolutional lstm implementation in pytorch
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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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Deep GenerationI used in this project a reccurent neural network to generate c code based on a dataset of c files from the linux repository.
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Multilstmkeras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS
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Pytorch gbw lmPyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset
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DeeplearningfornlpinpytorchAn IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
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Daguan 2019 rank9datagrand 2019 information extraction competition rank9
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