Lists (9)
Stars
Polars extension for general data science use cases
skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
A package for segmenting streaming time series data into homogenous segments. The segmentation is based on statistical change-point detection (aka online/sequential/iterative change-point detection).
Tensors and Dynamic neural networks in Python with strong GPU acceleration
nannyml: post-deployment data science in python
Python packaging and dependency management made easy
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
The interactive graphing library for Python ✨
An open-source, low-code machine learning library in Python
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Streamlit — A faster way to build and share data apps.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
ruptures: change point detection in Python
Lightning ⚡️ fast forecasting with statistical and econometric models.
Data, Benchmarks, and methods submitted to the M4 forecasting competition
Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
An R package for kernel density estimation with parametric starts and asymmetric kernels.