Probabilistic-RNN-DA-ClassifierProbabilistic Dialogue Act Classification for the Switchboard Corpus using an LSTM model
Stars: ✭ 22 (+0%)
Mutual labels: corpus, recurrent-neural-networks, rnn
danifojo-2018-repeatrnnComparing Fixed and Adaptive Computation Time for Recurrent Neural Networks
Stars: ✭ 32 (+45.45%)
Mutual labels: recurrent-neural-networks, rnn
Seq2seq ChatbotChatbot in 200 lines of code using TensorLayer
Stars: ✭ 777 (+3431.82%)
Mutual labels: corpus, rnn
rindow-neuralnetworksNeural networks library for machine learning on PHP
Stars: ✭ 37 (+68.18%)
Mutual labels: recurrent-neural-networks, rnn
IseebetteriSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
Stars: ✭ 202 (+818.18%)
Mutual labels: recurrent-neural-networks, rnn
Rnn ctcRecurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
Stars: ✭ 220 (+900%)
Mutual labels: recurrent-neural-networks, rnn
ACTAlternative approach for Adaptive Computation Time in TensorFlow
Stars: ✭ 16 (-27.27%)
Mutual labels: recurrent-neural-networks, rnn
Rnn From ScratchUse tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs
Stars: ✭ 123 (+459.09%)
Mutual labels: recurrent-neural-networks, rnn
VariationalNeuralAnnealingA variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.
Stars: ✭ 21 (-4.55%)
Mutual labels: recurrent-neural-networks, rnn
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 (+154.55%)
Mutual labels: recurrent-neural-networks, rnn
sequence-rnn-pySequence analyzing using Recurrent Neural Networks (RNN) based on Keras
Stars: ✭ 28 (+27.27%)
Mutual labels: recurrent-neural-networks, rnn
tiny-rnnLightweight C++11 library for building deep recurrent neural networks
Stars: ✭ 41 (+86.36%)
Mutual labels: recurrent-neural-networks, rnn
Deep Learning With PythonDeep learning codes and projects using Python
Stars: ✭ 195 (+786.36%)
Mutual labels: recurrent-neural-networks, rnn
Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
Stars: ✭ 3,209 (+14486.36%)
Mutual labels: recurrent-neural-networks, rnn
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 (+9431.82%)
Mutual labels: recurrent-neural-networks, rnn
Linear Attention Recurrent Neural NetworkA recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)
Stars: ✭ 119 (+440.91%)
Mutual labels: recurrent-neural-networks, rnn
Human-Activity-RecognitionHuman activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).
Stars: ✭ 16 (-27.27%)
Mutual labels: recurrent-neural-networks, rnn
automatic-personality-prediction[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings
Stars: ✭ 43 (+95.45%)
Mutual labels: recurrent-neural-networks, rnn
