Alternatives and similar repositories for optimization-tutorial:

Users that are interested in optimization-tutorial are comparing it to the libraries listed below

• l1n0b1 / TurboGP
  Genetic Programming library in Python
  ☆33Updated 4 months ago
• HeardACat / TreeGrad
  ☆21Updated 5 years ago
• kiudee / bayes-skopt
  A fully Bayesian implementation of sequential model-based optimization
  ☆39Updated last year
• microprediction / humpday
  Elo ratings for global black box derivative-free optimizers
  ☆138Updated 3 weeks ago
• Ambrosys / glyph
  a python 3 library based on deap providing abstraction layers for symbolic regression problems.
  ☆94Updated 3 years ago
• nla-group / fABBA
  A Python library for the fast symbolic approximation of time series
  ☆44Updated 2 weeks ago
• Decadz / Genetic-Programming-with-Rademacher-Complexity
  Python code for the GP-RC algorithm presented in "Genetic Programming with Rademacher Complexity for Symbolic Regression" (CEC-2019). Pap…
  ☆15Updated last year
• ELIFE-ASU / PyInform
  A Python Wrapper for the Inform Information Analysis Library
  ☆50Updated 5 years ago
• danuker / symreg
  A Symbolic Regression engine
  ☆29Updated 3 years ago
• scikit-monaco / scikit-monaco
  Python routines for Monte Carlo integration
  ☆32Updated 6 years ago
• nmichlo / ruck
  🧬 Modularised Evolutionary Algorithms For Python with Optional JIT and Multiprocessing (Ray) support. Inspired by PyTorch Lightning
  ☆53Updated last year
• cgreer / alpha-zero-boosted
  A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)
  ☆86Updated last week
• dietmarwo / fast-cma-es
  A Python 3 gradient-free optimization library
  ☆134Updated this week
• marcovirgolin / GP-GOMEA
  Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP
  ☆52Updated last year
• mooscaliaproject / pymoode
  A Python framework for Differential Evolution using pymoo.
  ☆48Updated 3 months ago
• gmgeorg / pylambertw
  pylambertw - sklearn interface to analyze and gaussianize heavy-tailed, skewed data
  ☆12Updated 10 months ago
• pySRURGS / pySRURGS
  Symbolic regression by uniform random global search
  ☆13Updated last year
• AlexIoannides / pymc-stochastic-process
  Bayesian Inference and parameter estimation in quant finance.
  ☆43Updated 6 years ago
• jmoy / plotdf
  Python package to plot phase portraits of 2D differential equations.
  ☆27Updated 9 years ago
• cfusting / fast-symbolic-regression
  Blazing fast symbolic regresison
  ☆76Updated 5 years ago
• numericalalgorithmsgroup / pybobyqa
  Python-based Derivative-Free Optimization with Bound Constraints
  ☆79Updated 5 months ago
• MDCHAMP / FreeLunch
  Meta-heuristic optimisation suite for python
  ☆46Updated last year
• lprtk / pyRisk
  Python library for risk management in finance
  ☆13Updated 2 years ago
• justinlovinger / optimal-py
  A python metaheuristic optimization library. Currently supports Genetic Algorithms, Gravitational Search, Cross Entropy, and PBIL.
  ☆39Updated 4 years ago
• phschiele / PyCLA
  A Python Package for Portfolio Optimization using the Critical Line Algorithm
  ☆25Updated last year
• fonnesbeck / bayes_course_dec_2024
  Probabilistic Programming and Bayesian Computing with PyMC
  ☆2Updated 2 months ago
• microprediction / mkalgo
  Mueen-Keogh Algorithm for finding timeseries motifs
  ☆21Updated 4 years ago
• tee-lab / PyDaddy
  Python package to discover stochastic differential equations from time series data
  ☆94Updated last month
• michaelosthege / pyrff
  pyrff: Python implementation of random fourier feature approximations for gaussian processes
  ☆28Updated 2 years ago