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Tensorflow TutorialSome interesting TensorFlow tutorials for beginners.
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Up Down CaptionerAutomatic image captioning model based on Caffe, using features from bottom-up attention.
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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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Qa RankitQA - Answer Selection (Rank candidate answers for a given question)
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Caption generatorA modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.
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Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
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Screenshot To CodeA neural network that transforms a design mock-up into a static website.
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stylenetA pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"
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Image Caption Generator[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
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Video ClassificationTutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
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Pytorch Pos TaggingA tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
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Handwriting SynthesisImplementation of "Generating Sequences With Recurrent Neural Networks" https://arxiv.org/abs/1308.0850
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DeeplearningfornlpinpytorchAn IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
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Image classifierCNN image classifier implemented in Keras Notebook 🖼️.
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Dgc NetA PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network"
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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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Abstractive SummarizationImplementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.
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EthnicolrPredict Race and Ethnicity Based on the Sequence of Characters in a Name
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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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Stock Price PredictorThis project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
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Visualizing cnnsUsing Keras and cats to visualize layers from CNNs
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Pytorch SiftPyTorch implementation of SIFT descriptor
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Deep AlgotradingA resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading
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Relation Classification Using Bidirectional Lstm TreeTensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations
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Rnn For Joint NluPytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)
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Keraspp코딩셰프의 3분 딥러닝, 케라스맛
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Cnn Re TfConvolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow
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Multilstmkeras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS
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Load forecastingLoad forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models
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StylenetA cute multi-layer LSTM that can perform like a human 🎶
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Pratik Derin Ogrenme UygulamalariÇeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.
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Cs291k🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models
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TcdfTemporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
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JlmA fast LSTM Language Model for large vocabulary language like Japanese and Chinese
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Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
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Nlp made easyExplains nlp building blocks in a simple manner.
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Show and TellShow and Tell : A Neural Image Caption Generator
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CS231nMy solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
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