lstm-kalman-hybrid-timeseriesHybrid Time Series using LSTM and Kalman Filtering
Stars: ✭ 33 (-50%)
Mutual labels: lstm-neural-networks, timeseries-analysis
lstm-electric-load-forecastElectric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network
Stars: ✭ 56 (-15.15%)
Mutual labels: lstm-neural-networks
micropredictionIf you can measure it, consider it predicted
Stars: ✭ 158 (+139.39%)
Mutual labels: timeseries-analysis
reachR < > Matlab interoperability
Stars: ✭ 24 (-63.64%)
Mutual labels: matlab-script
DeepLearning-PadhAIAll the code files related to the deep learning course from PadhAI
Stars: ✭ 88 (+33.33%)
Mutual labels: lstm-neural-networks
Deep-Drug-CoderA tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.
Stars: ✭ 143 (+116.67%)
Mutual labels: lstm-neural-networks
contextualLSTMContextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning
Stars: ✭ 28 (-57.58%)
Mutual labels: lstm-neural-networks
OCROptical character recognition Using Deep Learning
Stars: ✭ 25 (-62.12%)
Mutual labels: lstm-neural-networks
stock-market-scraperScraps historical stock market data from Yahoo Finance (https://finance.yahoo.com/)
Stars: ✭ 110 (+66.67%)
Mutual labels: lstm-neural-networks
deep-learningProjects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the…
Stars: ✭ 43 (-34.85%)
Mutual labels: lstm-neural-networks
tempoAPI for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation
Stars: ✭ 212 (+221.21%)
Mutual labels: timeseries-analysis
Deep-Learning-CourseraProjects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
Stars: ✭ 123 (+86.36%)
Mutual labels: lstm-neural-networks
Hierarchical-attention-networkMy implementation of "Hierarchical Attention Networks for Document Classification" in Keras
Stars: ✭ 26 (-60.61%)
Mutual labels: lstm-neural-networks
Human Activity RecognitionA new and computationally cheap method to perform human activity recognition using PoseNet and LSTM. Where we use PoseNet for Preprocessing and LSTM for understand the sequence.
Stars: ✭ 25 (-62.12%)
Mutual labels: lstm-neural-networks
lstm-numpyVanilla LSTM with numpy
Stars: ✭ 17 (-74.24%)
Mutual labels: lstm-neural-networks
bitcoin-predictionbitcoin prediction algorithms
Stars: ✭ 21 (-68.18%)
Mutual labels: lstm-neural-networks
Predict-next-wordAn LSTM example using tensorflow to predict the next word in a text
Stars: ✭ 37 (-43.94%)
Mutual labels: lstm-neural-networks
Deep-LearningThis repo provides projects on deep-learning mainly using Tensorflow 2.0
Stars: ✭ 22 (-66.67%)
Mutual labels: lstm-neural-networks
