tf-ran-cellRecurrent Additive Networks for Tensorflow
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Seq2seq ChatbotChatbot in 200 lines of code using TensorLayer
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Ad examplesA collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
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DrowsyDriverDetectionThis is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.
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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).
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sequence-rnn-pySequence analyzing using Recurrent Neural Networks (RNN) based on Keras
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hcnHybrid Code Networks https://arxiv.org/abs/1702.03274
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Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
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StockpricepredictionStock Price Prediction using Machine Learning Techniques
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Har Stacked Residual Bidir LstmsUsing deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
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TelemanomA framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
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novel writerTrain LSTM to writer novel (HongLouMeng here) in Pytorch.
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Speech-RecognitionEnd-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
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rnn2dCPU and GPU implementations of some 2D RNN layers
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Sequence-Models-courseraSequence Models by Andrew Ng on Coursera. Programming Assignments and Quiz Solutions.
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tiny-rnnLightweight C++11 library for building deep recurrent neural networks
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CS231nMy solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
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Unet ZooA collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation
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Tensorflow poems中文古诗自动作诗机器人,屌炸天,基于tensorflow1.10 api,正在积极维护升级中,快star,保持更新!
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NlstmNested LSTM Cell
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LightnetEfficient, transparent deep learning in hundreds of lines of code.
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DeepjazzDeep learning driven jazz generation using Keras & Theano!
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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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dltfHands-on in-person workshop for Deep Learning with TensorFlow
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lstm harLSTM based human activity recognition using smart phone sensor dataset
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Multi Class Text Classification Cnn RnnClassify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
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Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
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Video ClassificationTutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
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ArrayLSTMGPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..
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air writingOnline Hand Writing Recognition using BLSTM
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EBIM-NLIEnhanced BiLSTM Inference Model for Natural Language Inference
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ConvLSTM-PyTorchConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
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deep-improvisationEasy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.
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Dense BiLSTMTensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification
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question-pairA siamese LSTM to detect sentence/question pairs.
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totally humansrnn trained on r/totallynotrobots 🤖
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Pytorch-POS-TaggerPart-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN
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RnnsharpRNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.
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BasicocrBasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。
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Lstm Human Activity RecognitionHuman Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
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Rnn ctcRecurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
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myDLDeep Learning
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sgrnnTensorflow implementation of Synthetic Gradient for RNN (LSTM)
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ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
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AilearningAiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
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