Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
- forecasting
- scikit-learn
- machine-learning
- python
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A C++ header-only library of statistical distribution functions.
- stats
- cpp
- constexpr
- numerical-methods
An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks.
- riemann-solver
- python
- jupyter-notebook
- book
Umbrella package of the 'spatstat' family................
- r
- spatial-analysis
- spatial-data
- spatstat
A TensorFlow implementation of the Mnemonic Descent Method.
- tensorflow
- menpo
- face
- face-alignment
:dart: Accurate sums and dot products for Python.
- mathematics
- numerical-methods
- engineering
- accuracy
Classes and methods for spatio-temporal data
High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
Methods for Image-Based Cell Profiling
Provide Go Statistics Handler, Struct, Measure Method
- go
- golang
- stats
- statistics
A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.
- art-history
- color-analysis
- color-extraction
- color-palette