dtsA Keras library for multi-step time-series forecasting.
Stars: ✭ 130 (+400%)
Gdax Orderbook MlApplication of machine learning to the Coinbase (GDAX) orderbook
Stars: ✭ 60 (+130.77%)
Rnn NotebooksRNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
Stars: ✭ 48 (+84.62%)
lmkitlanguage models toolkits with hierarchical softmax setting
Stars: ✭ 16 (-38.46%)
RECCONThis repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.
Stars: ✭ 126 (+384.62%)
theano-recurrenceRecurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano
Stars: ✭ 40 (+53.85%)
sklearn-audio-classificationAn in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP
Stars: ✭ 31 (+19.23%)
Screenshot To CodeA neural network that transforms a design mock-up into a static website.
Stars: ✭ 13,561 (+52057.69%)
tf-ran-cellRecurrent Additive Networks for Tensorflow
Stars: ✭ 16 (-38.46%)
Image Caption GeneratorA neural network to generate captions for an image using CNN and RNN with BEAM Search.
Stars: ✭ 126 (+384.62%)
Eeg DlA Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Stars: ✭ 165 (+534.62%)
TrafficflowpredictionTraffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).
Stars: ✭ 242 (+830.77%)
Manhattan-LSTMKeras and PyTorch implementations of the MaLSTM model for computing Semantic Similarity.
Stars: ✭ 28 (+7.69%)
ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Stars: ✭ 345 (+1226.92%)
Sudllight deep neural network tools box(LSTM,GRU,RNN,CNN,Bi-LSTM,etc)
Stars: ✭ 29 (+11.54%)
Load forecastingLoad forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models
Stars: ✭ 160 (+515.38%)
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 (+7965.38%)
Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Stars: ✭ 3,418 (+13046.15%)
HasteHaste: a fast, simple, and open RNN library
Stars: ✭ 214 (+723.08%)
myDLDeep Learning
Stars: ✭ 18 (-30.77%)
ConvLSTM-PyTorchConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
Stars: ✭ 202 (+676.92%)
Emotion and Polarity SOAn emotion classifier of text containing technical content from the SE domain
Stars: ✭ 74 (+184.62%)
Rnn Text Classification TfTensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification
Stars: ✭ 114 (+338.46%)
Tensorflow Lstm SinTensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction
Stars: ✭ 52 (+100%)
emotion-recognition-GANThis project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN
Stars: ✭ 20 (-23.08%)
Rnn ctcRecurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
Stars: ✭ 220 (+746.15%)
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 (-30.77%)
Personality DetectionImplementation of a hierarchical CNN based model to detect Big Five personality traits
Stars: ✭ 338 (+1200%)
Theano lstm🔬 Nano size Theano LSTM module
Stars: ✭ 310 (+1092.31%)
dissertation🎓 📜 This repository holds my final year and dissertation project during my time at the University of Lincoln titled 'Deep Learning for Emotion Recognition in Cartoons'.
Stars: ✭ 22 (-15.38%)
Pytorch-POS-TaggerPart-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN
Stars: ✭ 24 (-7.69%)
See RnnRNN and general weights, gradients, & activations visualization in Keras & TensorFlow
Stars: ✭ 102 (+292.31%)
ntua-slp-semeval2018Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.
Stars: ✭ 79 (+203.85%)
keras-deep-learningVarious implementations and projects on CNN, RNN, LSTM, GAN, etc
Stars: ✭ 22 (-15.38%)
wildflower-finderImage classification of wildflowers using deep residual learning and convolutional neural nets
Stars: ✭ 25 (-3.85%)
question-pairA siamese LSTM to detect sentence/question pairs.
Stars: ✭ 25 (-3.85%)
NoiseReductionUsingGRUThis is my graduation project in BIT. Title: Noise Reduction Using GRU.
Stars: ✭ 25 (-3.85%)
MogrifierLSTMA quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch
Stars: ✭ 58 (+123.08%)
EmbeddingEmbedding模型代码和学习笔记总结
Stars: ✭ 25 (-3.85%)
PSCognitiveServicePowershell module to access Microsoft Azure Machine learning RESTful API's or Microsoft cognitive services
Stars: ✭ 46 (+76.92%)
Predictive-Maintenance-of-Aircraft-EngineIn this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.
Stars: ✭ 48 (+84.62%)
CharLSTMBidirectional Character LSTM for Sentiment Analysis - Tensorflow Implementation
Stars: ✭ 49 (+88.46%)
Learning-Lab-C-LibraryThis library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated
Stars: ✭ 20 (-23.08%)
rnn2dCPU and GPU implementations of some 2D RNN layers
Stars: ✭ 26 (+0%)
deep-improvisationEasy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.
Stars: ✭ 53 (+103.85%)
CNNs-on-CHB-MITThe project is about applying CNNs to EEG data from CHB-MIT to predict seizure
Stars: ✭ 40 (+53.85%)
Machine-LearningThe projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.
Stars: ✭ 54 (+107.69%)
Robust-Deep-Learning-PipelineDeep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)
Stars: ✭ 20 (-23.08%)