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18 search results found

Deep Learning Drizzle ⭐ 10,767

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Stats Maths With Python ⭐ 492

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Bayesian Statistics ⭐ 310

This repository holds slides and code for a full Bayesian statistics graduate course.

Public-domain Python library for flashcard quiz scheduling using Bayesian statistics. (JavaScript, Java, Dart, and other ports available!)

Rethinking Tensorflow Probability ⭐ 207

Statistical Rethinking (2nd Ed) with Tensorflow Probability

Probflow ⭐ 108

A Python package for building Bayesian models with TensorFlow or PyTorch

Bayesian Testing ⭐ 58

Bayesian A/B testing

Tools for an Aesara-based PPL.

Conjugate_prior ⭐ 51

Implementation of the conjugate prior table for Bayesian Statistics

Ebisu.js ⭐ 41

JavaScript port of Ebisu, the public-domain library for Bayesian quiz scheduling.

StatSim. Bayesian inference and statistical simulations in the browser

Minimal A/B Testing Library in PHP

Probability_and_statistics ⭐ 14

Course materials for PROBABILITY AND STATISTICS A/B

Bayescog_part1 ⭐ 12

Teaching materials for BayesCog workshop, UKE Hamburg (Part 1).

Robust Nonlinear Regression ⭐ 7

Robust Regression for arbitrary non-linear functions

Probnstat4ds ⭐ 7

Companion GitHub notebook with 'Probability & Statistics for Data Science'

Accurate estimation of conditional categorical probability distributions using Hierarchical Dirichlet Processes

Mathematics For Machine Learning And Data Science Specialization ⭐ 5

Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

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