meadowdata / meadowflowLinks
Meadowflow is a proof-of-concept/prototype job scheduler built to explore the idea of implicit data dependency management.
☆10Updated 2 years ago
Alternatives and similar repositories for meadowflow
Users that are interested in meadowflow are comparing it to the libraries listed below
Sorting:
- A Python package for PME (Public Market Equivalent) calculation☆13Updated 8 months ago
- Random Forest-based "Correlation" measures☆15Updated 3 years ago
- Collecting news articles for all the companies in the R1000, for a pre-defined set of news outlets, using Diffbot's Knowledge Graph☆13Updated 2 years ago
- Detecting critical transitions in financial networks with topological data analysis.☆16Updated 6 years ago
- obliquetree is an advanced decision tree implementation featuring oblique and axis-aligned splits, optimized performance.☆22Updated last week
- Performant, composable online learning☆16Updated 4 years ago
- ☆23Updated 2 years ago
- A Modal that works with Panel in both server and notebook environments.☆21Updated 2 years ago
- Notes from my presentation on Python packaging at PyGotham 2021☆21Updated 3 years ago
- Elo ratings for time-series forecasting packages☆25Updated 3 years ago
- Smart, automatic detection and stationarization of non-stationary time series data.☆29Updated 3 years ago
- Demo on how to use Prefect with Docker☆27Updated 3 years ago
- Compute set of important operations for HCTSA code☆27Updated 5 years ago
- ☆24Updated 3 years ago
- Loan Risk Prediction Neural Network and API☆17Updated 5 years ago
- Exploring some issues related to churn☆17Updated last year
- time-series☆16Updated last year
- TSForecasting: Automated Time Series Forecasting Framework☆30Updated last year
- Time series and Financial analysis in python☆15Updated 6 years ago
- A library for Time Series EDA (exploratory data analysis)☆72Updated last year
- Modelling Connectedness of Firms in Financial Markets with Heterogeneous Agents☆22Updated 6 years ago
- A library to use `modal` as a backend for `joblib`.☆32Updated 11 months ago
- ⏳ Evaluation of Time-Series Predictions with powerful pdf and web Reporting. Tailored for evaluation of metrics over time!☆23Updated last year
- Solutions to machine learning HW from bloomberg ml course☆11Updated 6 years ago
- Build interactive big data apps with Altair and Vega easily using Panel + VegaFusion.☆17Updated 3 years ago
- A neural network hyper parameter tuner☆30Updated last year
- Extract information from XBRL files in the ESEF format☆13Updated this week
- Automatic optimal sequential investment decisions. Forecasts made using advanced stochastic processes with Monte Carlo simulation. Depend…☆22Updated last year
- Global, derivative-free optimization for hyperparameter tuning☆44Updated 2 months ago
- Exploring the classical regression capabilities of LLMs.☆18Updated last year