rnn-theanoRNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano
Stars: ✭ 68 (+240%)
Cnn Lstm Bilstm Deepcnn Clstm In PytorchIn PyTorch Learing Neural Networks Likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM
Stars: ✭ 714 (+3470%)
tf-ran-cellRecurrent Additive Networks for Tensorflow
Stars: ✭ 16 (-20%)
Manhattan-LSTMKeras and PyTorch implementations of the MaLSTM model for computing Semantic Similarity.
Stars: ✭ 28 (+40%)
Rnn NotebooksRNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
Stars: ✭ 48 (+140%)
LearningMetersPoemsOfficial repo of the article: Yousef, W. A., Ibrahime, O. M., Madbouly, T. M., & Mahmoud, M. A. (2019), "Learning meters of arabic and english poems with recurrent neural networks: a step forward for language understanding and synthesis", arXiv preprint arXiv:1905.05700
Stars: ✭ 18 (-10%)
Xlnet zh中文预训练XLNet模型: Pre-Trained Chinese XLNet_Large
Stars: ✭ 207 (+935%)
lmkitlanguage models toolkits with hierarchical softmax setting
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Gdax Orderbook MlApplication of machine learning to the Coinbase (GDAX) orderbook
Stars: ✭ 60 (+200%)
myDLDeep Learning
Stars: ✭ 18 (-10%)
Speech Recognition Neural NetworkThis is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.
Stars: ✭ 148 (+640%)
theano-recurrenceRecurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano
Stars: ✭ 40 (+100%)
Theano Kaldi RnnTHEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.
Stars: ✭ 31 (+55%)
HasteHaste: a fast, simple, and open RNN library
Stars: ✭ 214 (+970%)
STAR Network[PAMI 2021] Gating Revisited: Deep Multi-layer RNNs That Can Be Trained
Stars: ✭ 16 (-20%)
Mead BaselineDeep-Learning Model Exploration and Development for NLP
Stars: ✭ 238 (+1090%)
Attention MechanismsImplementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.
Stars: ✭ 203 (+915%)
Cikm analyticup 2017CIKM AnalytiCup 2017 is an open competition that is sponsored by Shenzhen Meteorological Bureau, Alibaba Group and CIKM2017. Our team got the third place in the first phrase. And in the second phrase we got the fourth place.
Stars: ✭ 66 (+230%)
dtsA Keras library for multi-step time-series forecasting.
Stars: ✭ 130 (+550%)
Load forecastingLoad forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models
Stars: ✭ 160 (+700%)
NoiseReductionUsingGRUThis is my graduation project in BIT. Title: Noise Reduction Using GRU.
Stars: ✭ 25 (+25%)
Tensorflow Lstm SinTensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction
Stars: ✭ 52 (+160%)
GRU AndroidAn RNN (GRU) TensorFlow Android App for word prediction.
Stars: ✭ 15 (-25%)
Rnn ctcRecurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
Stars: ✭ 220 (+1000%)
ConvLSTM-PyTorchConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
Stars: ✭ 202 (+910%)
ECGClassifierCNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)
Stars: ✭ 53 (+165%)
Skip Thoughts.torchPorting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7
Stars: ✭ 146 (+630%)
Sudllight deep neural network tools box(LSTM,GRU,RNN,CNN,Bi-LSTM,etc)
Stars: ✭ 29 (+45%)
Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Stars: ✭ 3,418 (+16990%)
ForestCoverChangeDetecting and Predicting Forest Cover Change in Pakistani Areas Using Remote Sensing Imagery
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Nmt KerasNeural Machine Translation with Keras
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Rnn Text Classification TfTensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification
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Gpt ScrollsA collaborative collection of open-source safe GPT-3 prompts that work well
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ZerothKaldi-based Korean ASR (한국어 음성인식) open-source project
Stars: ✭ 248 (+1140%)
Relational Rnn PytorchAn implementation of DeepMind's Relational Recurrent Neural Networks in PyTorch.
Stars: ✭ 236 (+1080%)
Eeg DlA Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
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Pytorch NceThe Noise Contrastive Estimation for softmax output written in Pytorch
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Theano lstm🔬 Nano size Theano LSTM module
Stars: ✭ 310 (+1450%)
LingvoLingvo
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See RnnRNN and general weights, gradients, & activations visualization in Keras & TensorFlow
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Pytorch-POS-TaggerPart-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN
Stars: ✭ 24 (+20%)
PLBARTOfficial code of our work, Unified Pre-training for Program Understanding and Generation [NAACL 2021].
Stars: ✭ 151 (+655%)
Pytorch Kaldipytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
Stars: ✭ 2,097 (+10385%)
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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ms-convSTAR[RSE21] Pytorch code for hierarchical time series classification with multi-stage convolutional RNN
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