DEAP / deap
Distributed Evolutionary Algorithms in Python
☆6,014Updated 2 months ago
Alternatives and similar repositories for deap:
Users that are interested in deap are comparing it to the libraries listed below
- Genetic Programming in Python, with a scikit-learn inspired API☆1,662Updated last year
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆9,866Updated 3 weeks ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,763Updated last year
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,364Updated last month
- Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).☆1,996Updated last week
- Automated Machine Learning with scikit-learn☆7,773Updated last month
- A research toolkit for particle swarm optimization in Python☆1,312Updated 7 months ago
- Python implementation of CMA-ES☆1,155Updated last month
- Bayesian Modeling and Probabilistic Programming in Python☆8,921Updated this week
- Efficiently computes derivatives of NumPy code.☆7,193Updated this week
- A Python implementation of global optimization with gaussian processes.☆8,120Updated last week
- A Python toolbox for performing gradient-free optimization☆4,015Updated last week
- NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO☆2,427Updated 2 weeks ago
- Computing with Python functions.☆4,013Updated this week
- Use evolutionary algorithms instead of gridsearch in scikit-learn☆773Updated last year
- SCOOP (Scalable COncurrent Operations in Python)☆650Updated 2 years ago
- A scikit-learn compatible neural network library that wraps PyTorch☆5,986Updated last week
- Parallel computing with task scheduling☆13,045Updated this week
- SciPy library main repository☆13,462Updated this week
- Python implementation of the NEAT neuroevolution algorithm☆1,460Updated 9 months ago
- An intuitive library to add plotting functionality to scikit-learn objects.☆2,432Updated 7 months ago
- Lime: Explaining the predictions of any machine learning classifier☆11,810Updated 7 months ago
- NumPy aware dynamic Python compiler using LLVM☆10,300Updated this week
- Deep Neuroevolution☆1,642Updated last year
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,323Updated last month
- Bayesian optimization in PyTorch☆3,199Updated this week
- serialize all of Python☆2,324Updated last week
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆6,944Updated 2 weeks ago
- A Free and Open Source Python Library for Multiobjective Optimization☆599Updated 5 months ago
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆4,982Updated last month