deep-finance
datascience
| deep-finance | datascience | |
|---|---|---|
| 1 | 4 | |
| 1,135 | 4,104 | |
| - | - | |
| 10.0 | 8.3 | |
| almost 2 years ago | about 1 month ago | |
| MIT License | Creative Commons Zero v1.0 Universal |
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.
deep-finance
datascience
- Datasciene Libraries for Python
- Datascience Libraries for Python
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Good resources for learning ML with time series in Python? Some links I've found, but looking for canonical resources.
This GitHub repo maintains a good list of resources. Check out the "Time Series" section. https://github.com/r0f1/datascience
- Opinionated List of Data Science Libraries for Python
What are some alternatives?
financial-machine-learning - A curated list of practical financial machine learning tools and applications.
Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai
GNNPapers - Must-read papers on graph neural networks (GNN)
mlnotify - 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.
awesome-stellar - 👨🚀 A curated list of Stellar applications, blog posts, educational resources, tools, and more.
machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.
awesome-bigdata - A curated list of awesome big data frameworks, ressources and other awesomeness.
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.
mlreef - The collaboration workspace for Machine Learning
darts - A python library for user-friendly forecasting and anomaly detection on time series.
awesome-production-machine-learning - A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
awesome-ml-for-cybersecurity - :octocat: Machine Learning for Cyber Security