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 (+592.5%)
Mutual labels: recurrent-neural-networks, lstm, rnn
Pytorch Learners TutorialPyTorch tutorial for learners
Stars: ✭ 97 (+142.5%)
Mutual labels: recurrent-neural-networks, lstm, rnn
DeepseqslamThe Official Deep Learning Framework for Route-based Place Recognition
Stars: ✭ 49 (+22.5%)
Mutual labels: recurrent-neural-networks, lstm, rnn
tiny-rnnLightweight C++11 library for building deep recurrent neural networks
Stars: ✭ 41 (+2.5%)
Mutual labels: recurrent-neural-networks, lstm, rnn
Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
Stars: ✭ 3,209 (+7922.5%)
Mutual labels: recurrent-neural-networks, lstm, rnn
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 (+7257.5%)
Mutual labels: recurrent-neural-networks, lstm, rnn
Pytorch Pos TaggingA tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
Stars: ✭ 96 (+140%)
Mutual labels: recurrent-neural-networks, lstm, rnn
Bitcoin Price Prediction Using LstmBitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network
Stars: ✭ 67 (+67.5%)
Mutual labels: recurrent-neural-networks, lstm, 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 (+450%)
Mutual labels: recurrent-neural-networks, lstm, 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 (+5142.5%)
Mutual labels: recurrent-neural-networks, lstm, 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 (+197.5%)
Mutual labels: recurrent-neural-networks, lstm, rnn
sequence-rnn-pySequence analyzing using Recurrent Neural Networks (RNN) based on Keras
Stars: ✭ 28 (-30%)
Mutual labels: recurrent-neural-networks, 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 (+40%)
Mutual labels: recurrent-neural-networks, lstm, rnn
automatic-personality-prediction[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings
Stars: ✭ 43 (+7.5%)
Mutual labels: recurrent-neural-networks, lstm, rnn
myDLDeep Learning
Stars: ✭ 18 (-55%)
Mutual labels: lstm, rnn
dtsA Keras library for multi-step time-series forecasting.
Stars: ✭ 130 (+225%)
Mutual labels: recurrent-neural-networks, lstm
CS231nPyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
Stars: ✭ 47 (+17.5%)
Mutual labels: recurrent-neural-networks, lstm
question-pairA siamese LSTM to detect sentence/question pairs.
Stars: ✭ 25 (-37.5%)
Mutual labels: lstm, rnn
Pytorch-POS-TaggerPart-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN
Stars: ✭ 24 (-40%)
Mutual labels: lstm, rnn
