Generate high-quality triangulated and polygonal art from images.
翻译 - 从图像生成高质量的三角图稿。
#算法刷题#High-Performance Symbolic Regression in Python and Julia
Evolutionary algorithm toolbox and framework with high performance for Python
翻译 - 用于 Python 的高性能进化算法工具箱和框架
#计算机科学#Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Evolutionary multi-objective optimization platform
#算法刷题#Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
#计算机科学#A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modifie...
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
#计算机科学#🍀 Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
#计算机科学#Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
🧬 Training the car to do self-parking using a genetic algorithm
#计算机科学#Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
#计算机科学#Distributed High-Performance Symbolic Regression in Julia
#计算机科学#Automated modeling and machine learning framework FEDOT
The first open-source AI-driven tool for automatically generating system-level test cases (also known as fuzzing) for web/enterprise applications. Currently targeting whitebox and blackbox testing of ...
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.