Probabilistic reasoning and statistical analysis in TensorFlow

Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！

Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra

For marketing and gtm work: bind launches, campaigns, events, and brand plans to growth and pipeline outcomes. Built around the core query "annual-marketing-plan", with GTM strategy lead judgment, buyer-ready proof, and this outcome: approve launch plan, campaign budget, or GTM motion.

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

A Python-based stock screener to find stocks with potential breakout probability from NSE India.

distfit is a python library for probability density fitting.

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

Rust Scientific Library. ODE, DAE (Runge-Kutta), and PDE solvers. Special functions (Bessel, Elliptic, Beta, Gamma, Erf). Linear algebra. Sparse solvers (MUMPS, UMFPACK). Probability distributions. Tensor calculus. Numerical continuation.

Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 118 videos with slides, and solutions to 200 exercises

OIPD computes the probabilities of an asset's future price as implied by the options market.

A project to deploy an online app that predicts the win probability for each NBA game every day. Demonstrates end-to-end Machine Learning deployment.