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Wavetorch 🌊 Numerically solving and backpropagating through the wave equation
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Rnn From ScratchImplementing Recurrent Neural Network from Scratch
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Gru Svm[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
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Deep-Learning-CourseraProjects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
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Seq2seq PytorchSequence to Sequence Models with PyTorch
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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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Flow ForecastDeep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
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Wtte RnnWTTE-RNN a framework for churn and time to event prediction
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deep-char-cnn-lstmDeep Character CNN LSTM Encoder with Classification and Similarity Models
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Codegan[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks
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RmdlRMDL: Random Multimodel Deep Learning for Classification
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datastories-semeval2017-task6Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".
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ExermoteUsing Machine Learning to predict the type of exercise from movement data
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FARED for Anomaly DetectionOfficial source code of "Fast Adaptive RNN Encoder-Decoder for Anomaly Detection in SMD Assembly Machine"
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Multilstmkeras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS
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CodesearchnetDatasets, tools, and benchmarks for representation learning of code.
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Collaborative RnnA TensorFlow implementation of the collaborative RNN (Ko et al, 2016).
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Handwriting GenerationImplementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).
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Lstm Ctc Ocrusing rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc
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Show and TellShow and Tell : A Neural Image Caption Generator
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Midi RnnGenerate monophonic melodies with machine learning using a basic LSTM RNN
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VariationalNeuralAnnealingA variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.
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MachineLearningImplementations of machine learning algorithm by Python 3
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DeepzipNN based lossless compression
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cnn-rnn-classifierA practical example on how to combine both a CNN and a RNN to classify images.
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Numpy MlMachine learning, in numpy
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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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HeadlinesAutomatically generate headlines to short articles
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Stock Prediction ModelsGathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
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Tess4AndroidA new fork base on tess-two and Tesseract 4.0.0
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IndrnnTensorFlow implementation of Independently Recurrent Neural Networks
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Predictive Maintenance Using LstmExample of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
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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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Nlp overviewOverview of Modern Deep Learning Techniques Applied to Natural Language Processing
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Fast PytorchPytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
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Personality DetectionImplementation of a hierarchical CNN based model to detect Big Five personality traits
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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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Daguan 2019 rank9datagrand 2019 information extraction competition rank9
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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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