Bitcoin Price Prediction Using LstmBitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network
Stars: ✭ 67 (+19.64%)
Mutual labels: lstm, rnn, lstm-neural-networks
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 (+46.43%)
Mutual labels: lstm, rnn, lstm-neural-networks
StockpricepredictionStock Price Prediction using Machine Learning Techniques
Stars: ✭ 700 (+1150%)
Mutual labels: lstm, rnn, lstm-neural-networks
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 (+3644.64%)
Mutual labels: lstm, rnn, lstm-neural-networks
Text predictorChar-level RNN LSTM text generator📄.
Stars: ✭ 99 (+76.79%)
Mutual labels: lstm, rnn, lstm-neural-networks
Chameleon recsysSource code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Stars: ✭ 202 (+260.71%)
Mutual labels: lstm, rnn, lstm-neural-networks
lstm harLSTM based human activity recognition using smart phone sensor dataset
Stars: ✭ 20 (-64.29%)
Mutual labels: lstm, rnn
dltfHands-on in-person workshop for Deep Learning with TensorFlow
Stars: ✭ 14 (-75%)
Mutual labels: lstm, rnn
novel writerTrain LSTM to writer novel (HongLouMeng here) in Pytorch.
Stars: ✭ 14 (-75%)
Mutual labels: lstm, rnn
Automatic speech recognitionEnd-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
Stars: ✭ 2,751 (+4812.5%)
Mutual labels: lstm, rnn
DeepjazzDeep learning driven jazz generation using Keras & Theano!
Stars: ✭ 2,766 (+4839.29%)
Mutual labels: lstm, rnn
Deep-Learning-CourseraProjects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
Stars: ✭ 123 (+119.64%)
Mutual labels: rnn, lstm-neural-networks
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.
Stars: ✭ 250 (+346.43%)
Mutual labels: lstm, rnn
Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Stars: ✭ 3,418 (+6003.57%)
Mutual labels: lstm, rnn
tf-ran-cellRecurrent Additive Networks for Tensorflow
Stars: ✭ 16 (-71.43%)
Mutual labels: lstm, rnn
sequence-rnn-pySequence analyzing using Recurrent Neural Networks (RNN) based on Keras
Stars: ✭ 28 (-50%)
Mutual labels: lstm, 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 (+0%)
Mutual labels: lstm, rnn
