Multidimensional-LSTM-BitCoin-Time-Series

Bitcoin forecaster

A Python implementation using LSTM neural networks to forecast Bitcoin price based on time series data

Using multidimensional LSTM neural networks to create a forecast for Bitcoin price

GitHub

335 stars
31 watching
119 forks
Language: Jupyter Notebook
last commit: over 7 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
harimkang/lstm-prediction A time series prediction project using LSTM algorithm to forecast jeans prices based on historical sales data 56
sc4recoin/lstm-crypto-price-prediction Predicts future cryptocurrency prices using machine learning and technical analysis techniques. 291
nourozr/stock-price-prediction-lstm A Python project that uses LSTM recurrent neural networks to predict the average price of Apple Inc. stock based on historical data 573
jaungiers/lstm-neural-network-for-time-series-prediction A Python implementation of a Long Short-Term Memory neural network designed for predicting time series data sequences 4,841
nixtla/mlforecast A Python library for scalable machine learning-based time series forecasting with efficient feature engineering and out-of-the-box compatibility. 899
robromijnders/lstm_tsc An implementation of a Long Short-term memory model for time series classification using Python and TensorFlow. 408
damitkwr/esrnn-gpu A PyTorch implementation of an optimized deep learning model for time series forecasting on GPUs. 318
llsourcell/bitcoin_prediction A system for predicting Bitcoin prices using real-time data from tweets and other sources 235
dmbee/seglearn A machine learning tool for time series data analysis and modeling 571
jpeg729/pytorch_bits An experimental framework for developing and testing deep learning models on time-series prediction tasks 79
panditanvita/btcpredictor An algorithm for predicting Bitcoin prices using Bayesian regression techniques from historical data 321
skforecast/skforecast A Python library for building machine learning models to forecast time series data 1,156
cauchyturing/ucr_time_series_classification_deep_learning_baseline Developing and evaluating deep learning models for time series classification with a focus on interpretability and deployability. 677
microprediction/timemachines Provides a simple and unified interface to various univariate time-series prediction algorithms 405
hfawaz/dl-4-tsc This project provides a framework for evaluating and comparing different deep learning architectures for time series classification tasks. 1,558