CryptoKon
neural_prophet
CryptoKon | neural_prophet | |
---|---|---|
5 | 5 | |
11 | 3,644 | |
- | - | |
2.4 | 8.6 | |
12 months ago | 21 days ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
CryptoKon
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We have updated our KryptoKon web app to v1.1.5, and now you can do sentiment analysis of the tweets and get a sentiment trend of any particular topic you want .
web app link: https://cryptokon.streamlit.app
- CryptoKon with its advanced analysis tools, provides a deep understanding of the trends and movements within specific crypto projects, empowering you to make informed investment decisions. Say hello to a streamlined, user-friendly platform that puts the power of crypto analysis
- CryptoKon with its advanced analysis tools, provides a deep understanding of the trends and movements within specific crypto projects, empowering you to make informed investment decisions. Say hello to a streamlined, user-friendly platform that puts the power of crypto analysis .
- CryptoKon with its advanced analysis tools, CryptoKon provides a deep understanding of the trends and movements within specific crypto projects, empowering you to make informed investment decisions. Say goodbye to sifting through endless data and hello to a streamlined, user-friendly platform.
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?
darts - A python library for user-friendly forecasting and anomaly detection on time series.
scikit-hts - Hierarchical Time Series Forecasting with a familiar API
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.
orbit - A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
sysidentpy - A Python Package For System Identification Using NARMAX Models
Informer2020 - The GitHub repository for the paper "Informer" accepted by AAAI 2021.
tslearn - The machine learning toolkit for time series analysis in Python
kafka-crypto-questdb - Using Kafka to track cryptocurrency price trends
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
DeepADoTS - Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
query-selector - LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION