theano-recurrenceRecurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano
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totally humansrnn trained on r/totallynotrobots 🤖
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CS231nMy solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
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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.
Stars: ✭ 570 (+612.5%)
sequence-rnn-pySequence analyzing using Recurrent Neural Networks (RNN) based on Keras
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deep-improvisationEasy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.
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Rnn NotebooksRNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
Stars: ✭ 48 (-40%)
Hred Attention TensorflowAn extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.
Stars: ✭ 68 (-15%)
Lstm peptidesLong short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.
Stars: ✭ 30 (-62.5%)
ArrayLSTMGPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..
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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).
Stars: ✭ 56 (-30%)
novel writerTrain LSTM to writer novel (HongLouMeng here) in Pytorch.
Stars: ✭ 14 (-82.5%)
question-pairA siamese LSTM to detect sentence/question pairs.
Stars: ✭ 25 (-68.75%)
Dense BiLSTMTensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification
Stars: ✭ 48 (-40%)
Speech-RecognitionEnd-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
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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.
Stars: ✭ 277 (+246.25%)
ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
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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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EBIM-NLIEnhanced BiLSTM Inference Model for Natural Language Inference
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tf-ran-cellRecurrent Additive Networks for Tensorflow
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Char rnn lm zhlanguage model in Chinese,基于Pytorch官方文档实现
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air writingOnline Hand Writing Recognition using BLSTM
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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.
Stars: ✭ 82 (+2.5%)
myDLDeep Learning
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ConvLSTM-PyTorchConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
Stars: ✭ 202 (+152.5%)
Time AttentionImplementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
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Sequence-Models-courseraSequence Models by Andrew Ng on Coursera. Programming Assignments and Quiz Solutions.
Stars: ✭ 53 (-33.75%)
rnn2dCPU and GPU implementations of some 2D RNN layers
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dltfHands-on in-person workshop for Deep Learning with TensorFlow
Stars: ✭ 14 (-82.5%)
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
Stars: ✭ 2,943 (+3578.75%)
sgrnnTensorflow implementation of Synthetic Gradient for RNN (LSTM)
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DeepseqslamThe Official Deep Learning Framework for Route-based Place Recognition
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Pytorch-POS-TaggerPart-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN
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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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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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Video ClassificationTutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
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hcnHybrid Code Networks https://arxiv.org/abs/1702.03274
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Seq2seq ChatbotChatbot in 200 lines of code using TensorLayer
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AilearningAiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
Stars: ✭ 32,316 (+40295%)
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.
Stars: ✭ 641 (+701.25%)
lstm harLSTM based human activity recognition using smart phone sensor dataset
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tiny-rnnLightweight C++11 library for building deep recurrent neural networks
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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.
Stars: ✭ 589 (+636.25%)
Rnn Theano使用Theano实现的一些RNN代码,包括最基本的RNN,LSTM,以及部分Attention模型,如论文MLSTM等
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