A Library for Advanced Deep Time Series Models for General Time Series Analysis.
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Statsmodels: statistical modeling and econometrics in Python
- python
- statistics
- econometrics
- data-analysis
A unified framework for machine learning with time series
- time-series
- machine-learning
- scikit-learn
- time-series-classification
The machine learning toolkit for time series analysis in Python
- time-series
- timeseries
- time-series-analysis
- time-series-clustering
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
- pytorch
- graph-neural-networks
- temporal-networks
- temporal-graphs
A Python Pandas implementation of technical analysis indicators
Series and Panels for Real-time and Exploratory Analysis of Data Streams
- time-series
- real-time
- data-stream
- series-manipulation
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
- cwt
- matlab
- cpp
- optimization
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
- btc
- lstm
- rnn
- bitcoin
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
- time-series-analysis
- model-selection
- bayesian-inference
- anomaly-detection
Streaming-first technical indicators with a Rust core: native Python, Node.js and WebAssembly bindings plus a C ABI hub for C, C++, C#, Go, Java and R. 514 indicators, O(1) per-tick updates, no system dependencies. Drop-in TA-Lib replacement.
- algotrading
- backtesting
- bollinger-bands
- cryptocurrency
Technical indicator library for Elixir with no dependencies.
- elixir
- phoenix
- technical-analysis
- indicator