Alternatives and similar repositories for ArtificialIntelligenceEngines

Users that are interested in ArtificialIntelligenceEngines are comparing it to the libraries listed below

• probml / probml-utils
  Utilities for probabilistic ML
  ☆36Updated 2 years ago
• charlesfrye / AppliedStatisticsForNeuroscience
  Materials for UC Berkeley Neuroscience 299
  ☆53Updated 6 years ago
• uu-sml / sml-book-page
  Page for the SML book
  ☆55Updated 3 years ago
• rougier / CNCC-2020
  Computational Neuroscience Crash Course (University of Bordeaux, 2020)
  ☆56Updated 4 years ago
• tensorchiefs / dl_book
  legend
  ☆208Updated 2 years ago
• glouppe / info8004-advanced-machine-learning
  Lectures for INFO8004 Advanced Machine Learning, ULiège
  ☆116Updated 9 months ago
• Foundations-of-Applied-Mathematics / Student-Materials
  Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/
  ☆55Updated last year
• bertdv / BMLIP
  Course 5SSD0 - Bayesian Machine Learning and Information Processing
  ☆50Updated 4 months ago
• algorithmsbooks / optimization
  Errata for Algorithms for Optimization book
  ☆72Updated last week
• scheinerman / InvitationToDynamicalSystems
  Download my book "Invitation to Dynamical Systems" and its solution manual.
  ☆40Updated last year
• deep-learning-indaba / indaba-pracs-2019
  ☆95Updated 6 years ago
• mohd-faizy / Probabilistic-Deep-Learning-with-TensorFlow
  Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…
  ☆72Updated 3 months ago
• probmods / probmods2
  probmods 2: electric boogaloo
  ☆320Updated 2 years ago
• physhik / Study-of-David-Mackay-s-book-
  David Mackay's book review and problem solvings and own python codes, mathematica files
  ☆58Updated 8 years ago
• vbartle / VMLS-Companions
  These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.
  ☆351Updated 5 years ago
• mlss-2019 / tutorials
  ☆275Updated 5 years ago
• aayushmalik / awesome-bayesian-statistics
  A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.
  ☆118Updated 4 years ago
• springer-math / dynamical-systems-with-applications-using-python
  Source code for 'Dynamical Systems with Applications Using Python' by Stephen Lynch
  ☆158Updated 7 years ago
• data-psl / lectures2020
  ☆48Updated 3 years ago
• cranmer / stats-ds-book
  http://cranmer.github.io/stats-ds-book
  ☆73Updated 4 years ago
• cliburn / sta-663-2020
  ☆45Updated 5 years ago
• mikexcohen / LinAlgBook
  Python and MATLAB code for linear algebra textbook.
  ☆198Updated last year
• davidbarber / Julia0p6ProbabilisticInferenceEngine
  Basic probability manipulation routines for discrete variables
  ☆29Updated 8 years ago
• rrtucci / Bayesuvius
  a visual dictionary of Bayesian Networks and Causal Inference.
  ☆85Updated 3 months ago
• rmgarnett / cse515t
  Materials for Bayesian Methods in Machine Learning Course
  ☆92Updated last month
• PacktPublishing / Bayesian-Analysis-with-Python-Second-Edition
  Bayesian Analysis with Python - Second Edition, published by Packt
  ☆137Updated 4 years ago
• probml / probml-notebooks
  Notebooks for "Probabilistic Machine Learning" book
  ☆202Updated 3 years ago
• ericmjl / bayesian-deep-learning-demystified
  In which I try to demystify the fundamental concepts behind Bayesian deep learning.
  ☆122Updated 8 years ago
• ageron / julia_notebooks
  Julia Jupyter/Colab Notebooks
  ☆165Updated 2 months ago
• AllenDowney / BiteSizeBayes
  An introduction to Bayesian statistics using Python and (coming soon) R.
  ☆134Updated 2 years ago