Alternatives and similar repositories for Algorithms-for-Optimization-Python

Users that are interested in Algorithms-for-Optimization-Python are comparing it to the libraries listed below

• grasool / Gaussian-Processes
  Introduction to Gaussian Processes
  ☆29Updated 7 years ago
• shiernee / Advanced_ML
  ☆89Updated 2 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…
  ☆70Updated 2 months ago
• gerdm / bayes
  Neat Bayesian machine learning examples
  ☆58Updated last week
• sjchoi86 / yet-another-rl-tutorial
  ☆59Updated 2 years ago
• ORF522 / companion
  Supporting material for Princeton ORF522
  ☆14Updated 3 months ago
• BayesianRL / PML2024
  Materials related to the 2024-2025 mini course on Probabilistic Models and Bayesian Methods at the Faculty of Finance at Kharazmi Univers…
  ☆26Updated 5 months ago
• DiffEqML / torchcontrol
  A PyTorch library for all things nonlinear control and reinforcement learning.
  ☆47Updated 4 years ago
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆90Updated 6 years ago
• philipphennig / Probabilistic_ML
  Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
  ☆195Updated 2 years ago
• Ransaka / GMM-from-scratch
  The only guide you need to learn everything about GMM
  ☆134Updated last year
• AxelThevenot / Python_Benchmark_Test_Optimization_Function_Single_Objective
  ☆87Updated 2 years ago
• muandet-lab / ipml-course
  A course on imprecise probabilistic machine learning
  ☆109Updated last week
• UCLAIS / neural-ode-tutorial
  Repository for tutorial on Neural ODEs prepared for the UCL AI Society
  ☆13Updated 4 years ago
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆59Updated last year
• cgarciae / quantile-regression
  ☆22Updated 4 years ago
• pafoster / path_signatures_introduction
  A Brief Introduction to Path Signatures for Machine Learning Practitioners
  ☆55Updated 4 years ago
• HerreraKrachTeichmann / NJODE
  code for "Neural Jump Ordinary Differential Equations"
  ☆30Updated 2 years ago
• Victorletzelter / timeMCL
  Winner-takes-all for Multivariate Probabilistic Time Series Forecasting
  ☆53Updated 3 months ago
• gauravdhama / eigengame_deepmind
  A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium
  ☆21Updated 4 years ago
• phuijse / BLNNbook
  Bayesian Learning and Neural Networks (jupyter book sources)
  ☆57Updated 2 years ago
• zecevic-matej / SMLW-Causality-Tutorial
  Eastern European Machine Learning Summer School (EEML) Workshop Series 2022. Tutorial on Causality for the Serbian Machine Learning Works…
  ☆21Updated 3 years ago
• probml / rebayes
  Recursive Bayesian Estimation (Sequential / Online Inference)
  ☆60Updated last year
• donghun2018 / seqdecisionlib-release
  Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.
  ☆61Updated 6 years ago
• Quilograma / ConformalPredictionTutorial
  ☆42Updated 3 years ago
• OxfordML / bayesquad
  Library for Bayesian Quadrature
  ☆32Updated 6 years ago
• mhd-medfa / IU-Reinforcement-Learning-22-lab
  This repository contains the lab material for the Reinforcement Learning F22 course prepared for Innopolis University Master's students.
  ☆36Updated 3 years ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆91Updated 2 years ago
• AlexTMallen / koopman-forecasting
  Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory
  ☆36Updated 3 years ago
• lucasrm25 / Probabilistic-Machine-Learning
  Repository for the course Probabilistic Machine Learning at Tübingen University
  ☆26Updated 5 years ago