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List of papers, code and experiments using deep learning for time series forecasting
lstm
python3
pytorch
prediction
tensorflow
time-series
deep-learning
series-analysis
sales-forecasting
demand-forecasting
forecasting-models
series-forecasting
deep-neural-networks
lstm-neural-networks
series-classification
time-series-prediction
time-series-forecasting
forecasting-competitions
recurrent-neural-networks
time-series-classification
Created
2019-08-22
348 commits to master branch, last one 2 years ago
pytorch-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 ...
Created
2018-02-27
158 commits to master branch, last one 3 years ago
Stock Price Prediction using Machine Learning Techniques
Created
2016-03-02
43 commits to master branch, last one 4 years ago
LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow
Created
2018-02-18
22 commits to master branch, last one 5 years ago
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
Created
2017-09-05
31 commits to master branch, last one 3 months ago
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
Created
2017-08-21
21 commits to master branch, last one 6 years ago
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
Created
2020-07-01
178 commits to master branch, last one 4 months ago
Sentence paraphrase generation at the sentence level
Created
2018-01-18
92 commits to master branch, last one 2 years ago
Video to Text: Natural language description generator for some given video. [Video Captioning]
Created
2017-10-25
260 commits to VideoCaption branch, last one 2 years ago
EQTransformer, a python package for earthquake signal detection and phase picking using AI.
Created
2020-03-11
553 commits to master branch, last one 20 days ago
⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity
Created
2018-03-23
33 commits to master branch, last one 3 years ago
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Created
2018-09-23
26 commits to master branch, last one 3 years ago
Realistic Handwriting with Tensorflow
Created
2016-08-30
55 commits to master branch, last one 11 months ago
Anomaly detection for temporal data using LSTMs
Created
2017-05-01
59 commits to master branch, last one 2 years ago
Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API calls analysis for cyber security researchers
Created
2020-09-05
56 commits to master branch, last one 2 years ago
GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management
Created
2021-07-18
52 commits to main branch, last one 2 years ago
A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.
Created
2019-05-29
78 commits to master branch, last one 3 years ago
Scraps historical stock market data from Yahoo Finance (https://finance.yahoo.com/)
Created
2019-06-20
28 commits to master branch, last one 3 years ago
First Version.. Cryptocurrency Prediction with Artificial Intelligence (Deep Learning via LSTM Neural Networks)- Emirhan BULUT
Created
2022-01-12
15 commits to main branch, last one about a year ago
Deep Learning-based Clustering Approaches for Bioinformatics
Created
2019-08-16
53 commits to master branch, last one 3 years ago
In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.
Created
2019-05-07
50 commits to master branch, last one about a year ago
Context-Dependent Sentiment Analysis in User-Generated Videos
Created
2017-04-21
19 commits to master branch, last one 2 years ago
Char-level RNN LSTM text generator📄.
Created
2018-10-06
54 commits to master branch, last one 2 years ago
PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Partially inspired by Zheng, S., Ristovski, K., Farahat, A., & Gu...
Created
2021-05-01
3 commits to master branch, last one 2 years ago
A Chrome Extension that promotes politically diverse news reading with Artificial Intelligence!
Created
2021-09-18
47 commits to main branch, last one 2 years ago
A recurrent (LSTM) neural network in C
Created
2017-08-27
285 commits to master branch, last one 2 years ago
Time Series Analysis and Forecasting in Python
numpy
stats
pandas
sarimax
python-3
fbprophet
stats-api
arima-model
statsmodels
moving-average
prophet-facebook
arima-forecasting
lstm-neural-networks
time-series-analysis
univariate-timeseries
multivariate-timeseries
time-series-forecasting
holt-winters-forecasting
machine-learning-algorithms
deep-learning-for-time-series
Created
2019-12-29
39 commits to master branch, last one 3 months ago
Files and Scripts to run Tesseract 5 LSTM Training using fonts
Created
2019-04-02
72 commits to main branch, last one 2 years ago
29
76
cc-by-4.0
10
My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓
forex
keras
finance
trading
publication
white-paper
forex-trading
research-paper
bachelor-thesis
machine-learning
financial-analysis
technical-analysis
trading-algorithms
algorithmic-trading
lstm-neural-networks
sequence-to-sequence
technical-indicators
time-series-analysis
recurrent-neural-networks
artificial-neural-networks
Created
2016-11-22
18 commits to master branch, last one 2 years ago
Classification of Urban Sound Audio Dataset using LSTM-based model.
Created
2019-03-29
20 commits to master branch, last one about a year ago