mthiboust
Follow
Stars
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
noklam / dtype_diet
Forked from ianozsvald/dtype_dietTries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
A Python decorator for converting a function into a module. It also includes tools for combining multiple Python files into one.
👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud storage provider.
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
A toolkit for machine learning from time series
An extremely fast Python linter and code formatter, written in Rust.
Open source platform for the machine learning lifecycle
☄🌌️ The minimal, blazing-fast, and infinitely customizable prompt for any shell!
(GPU accelerated) Multi-arch (linux/amd64, linux/arm64/v8) JupyterLab Python docker images. Please submit Pull Requests to the GitLab repository. Mirror of
Free Weather Forecast API for non-commercial use
🚀 Build and manage real-life ML, AI, and data science projects with ease!
👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
Scalable and user friendly neural 🧠 forecasting algorithms.
Resources for working with time series and sequence data
Probabilistic time series modeling in Python
[ICML2024] Unified Training of Universal Time Series Forecasting Transformers
Ofiicial Implementation for Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data
ICLR 2024 LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units
Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
MambaStock: Selective state space model for stock prediction
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks