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👋 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
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference,…
Additional multi-backend functionality for Keras 3.
Private & local AI personal knowledge management app.