dream-faster / foldView external linksLinks
🪁 A fast Adaptive Machine Learning library for Time-Series, that lets you build, deploy and update composite models easily. An order of magnitude speed-up, combined with flexibility and rigour. This is an internal project - documentation is not updated anymore and substantially differ from the current API.
☆102Feb 29, 2024Updated last year
Alternatives and similar repositories for fold
Users that are interested in fold are comparing it to the libraries listed below
Sorting:
- A library for Time Series EDA (exploratory data analysis)☆72Aug 11, 2024Updated last year
- [VLDB 2022] Dash application for "Navigating the Labyrinth of Time Series Anomaly Detection"☆24Mar 20, 2023Updated 2 years ago
- Advancing in Financial Machine Learning☆16Feb 27, 2020Updated 5 years ago
- algorithmic trading using machine learning☆155Updated this week
- Compute fractional differentiation super-fast. Processes time-series to be stationary while preserving memory. cf. "Advances in Financial…☆331Dec 16, 2023Updated 2 years ago
- A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on …☆210Jul 25, 2024Updated last year
- Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…☆128Nov 25, 2023Updated 2 years ago
- ☆10Nov 16, 2023Updated 2 years ago
- A chat implementation for FastHTML☆11Sep 14, 2025Updated 5 months ago
- SigKAN: Signature-Weighted Kolmogorov-Arnold Networks for Time Series☆49Nov 24, 2024Updated last year
- A library to create lore plots (logistic regression of the prevalence of a categorical variable in function of a continuous feature)☆16Feb 1, 2026Updated last week
- Fast window operations☆45Jun 2, 2024Updated last year
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆440Apr 23, 2024Updated last year
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆116Oct 1, 2025Updated 4 months ago
- Using Fastai library to classify Twitter jokes in Spanish☆12Jul 4, 2019Updated 6 years ago
- Applying NLP framework to 10-K filings in equity markets☆14Jul 26, 2021Updated 4 years ago
- Financial Portfolio Quintile Probability Forecaster #2 winner of M6 Financial Forecasting Competition☆14Feb 20, 2023Updated 2 years ago
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.☆1,167Oct 4, 2025Updated 4 months ago
- TSForecasting: Automated Time Series Forecasting Framework☆30Feb 2, 2026Updated last week
- 📊 Explain why metrics change by unpacking them☆40Jan 16, 2026Updated 3 weeks ago
- Cyclic Boosting Machines - an explainable supervised machine learning algorithm☆62Sep 3, 2024Updated last year
- The world's first live open-source trading algorithm. Use our money to test your automated stock/FX/crypto trading strategies. All change…☆12Jul 6, 2022Updated 3 years ago
- Supporting material for the book club☆15Jul 24, 2022Updated 3 years ago
- Pricing Financial Options contracts using LightGBM, Deep Learning, and Support Vector Machines.☆17Mar 14, 2023Updated 2 years ago
- ☆14Jun 23, 2017Updated 8 years ago
- Quant/Algorithm trading resources with an emphasis on Machine Learning☆12May 18, 2019Updated 6 years ago
- implementation of Cyclic Boosting machine learning algorithms☆95Sep 2, 2024Updated last year
- A dashboard to visualize cryptocurrency implied volatility surfaces constructed with option data from Binance.☆73May 23, 2025Updated 8 months ago
- Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models☆457Oct 13, 2023Updated 2 years ago
- Forecasting crude oil price based on only historical price data utilizing time-series forecasting and ensemble modeling.☆16May 1, 2023Updated 2 years ago
- Implementation of ModernBERT in MLX☆20Jan 7, 2026Updated last month
- Time based splits for cross validation☆39Feb 1, 2026Updated 2 weeks ago
- ☆17Aug 26, 2024Updated last year
- Random Forest-based "Correlation" measures☆15May 3, 2022Updated 3 years ago
- Machine Learning for Asset Managers☆17Sep 28, 2020Updated 5 years ago
- Official PyTorch implementation of OTiS: An open model for general time series analysis.☆17Nov 5, 2025Updated 3 months ago
- Forecasting with Gradient Boosted Time Series Decomposition☆198Jan 11, 2026Updated last month
- Developing a trend following model using futures☆38Sep 17, 2023Updated 2 years ago
- ☆115Feb 18, 2024Updated last year