query-selector
neural_prophet
| query-selector | neural_prophet | |
|---|---|---|
| 1 | 5 | |
| 75 | 3,644 | |
| - | - | |
| 3.7 | 8.6 | |
| 6 months ago | 17 days ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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query-selector
neural_prophet
- Facebook Prophet: library for generating forecasts from any time series data
- Time series analysis of Bitcoin price in Python with fbprophet ?!
- 14 September 2021 - Daily Chat Thread
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[D] Stock prediction using lstm(plz help)
NeuralProphet
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Financial time-series data forecasting - any other tools besides Prophet?
Neural Prophet: https://github.com/ourownstory/neural_prophet
What are some alternatives?
LaTeX-OCR - pix2tex: Using a ViT to convert images of equations into LaTeX code.
darts - A python library for user-friendly forecasting and anomaly detection on time series.
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
scikit-hts - Hierarchical Time Series Forecasting with a familiar API
sktime - A unified framework for machine learning with time series
Kats - Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
CrabNet - Predict materials properties using only the composition information!
orbit - A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
how-do-vits-work - (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
gluonts - Probabilistic time series modeling in Python
sysidentpy - A Python Package For System Identification Using NARMAX Models