Char Rnn ChineseMulti-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.
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question-pairA siamese LSTM to detect sentence/question pairs.
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Pytorch-POS-TaggerPart-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN
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Time AttentionImplementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
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myDLDeep Learning
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totally humansrnn trained on r/totallynotrobots 🤖
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tiny-rnnLightweight C++11 library for building deep recurrent neural networks
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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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Video ClassificationTutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
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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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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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ConvLSTM-PyTorchConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
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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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Dense BiLSTMTensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification
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CS231nMy solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
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Boilerplate Dynet Rnn LmBoilerplate code for quickly getting set up to run language modeling experiments
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deep-improvisationEasy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.
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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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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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Seq2seq ChatbotChatbot in 200 lines of code using TensorLayer
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Chinese ElectraPre-trained Chinese ELECTRA(中文ELECTRA预训练模型)
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air writingOnline Hand Writing Recognition using BLSTM
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novel writerTrain LSTM to writer novel (HongLouMeng here) in Pytorch.
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sequence-rnn-pySequence analyzing using Recurrent Neural Networks (RNN) based on Keras
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Speech-RecognitionEnd-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
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LM-CNLCChinese Natural Language Correction via Language Model
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Sequence-Models-courseraSequence Models by Andrew Ng on Coursera. Programming Assignments and Quiz Solutions.
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rnn2dCPU and GPU implementations of some 2D RNN layers
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time-series-forecasting-tensorflowjsPull stock prices from online API and perform predictions using Long Short Term Memory (LSTM) with TensorFlow.js framework
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DeepseqslamThe Official Deep Learning Framework for Route-based Place Recognition
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hcnHybrid Code Networks https://arxiv.org/abs/1702.03274
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Rnn NotebooksRNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
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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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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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ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
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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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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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Lightnlp基于Pytorch和torchtext的自然语言处理深度学习框架。
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Nlp chinese corpus大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
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Lstm peptidesLong short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.
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StockpricepredictionStock Price Prediction using Machine Learning Techniques
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EBIM-NLIEnhanced BiLSTM Inference Model for Natural Language Inference
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ArrayLSTMGPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..
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sgrnnTensorflow implementation of Synthetic Gradient for RNN (LSTM)
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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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SpagoSelf-contained Machine Learning and Natural Language Processing library in Go
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