Genannsimple neural network library in ANSI C
Stars: ✭ 1,088 (-0.46%)
GeneticalgorithmpythonSource code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Stars: ✭ 435 (-60.2%)
EchotorchA Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.
Stars: ✭ 231 (-78.87%)
datafsmMachine Learning Finite State Machine Models from Data with Genetic Algorithms
Stars: ✭ 14 (-98.72%)
EvOLuTIoNA simple simulation in Unity, which uses genetic algorithm to optimize forces applied to cubes
Stars: ✭ 44 (-95.97%)
NEATESTNEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training
Stars: ✭ 13 (-98.81%)
WatchmakerThe Watchmaker Framework for Evolutionary Computation
Stars: ✭ 189 (-82.71%)
wargamestwo soldiers shooting at each other, controlled by a neural network with a genetic algorithm.
Stars: ✭ 22 (-97.99%)
gogaGo evolutionary algorithm is a computer library for developing evolutionary and genetic algorithms to solve optimisation problems with (or not) many constraints and many objectives. Also, a goal is to handle mixed-type representations (reals and integers).
Stars: ✭ 39 (-96.43%)
GeneticsJSEvolutionary algorithms library for the web 🧬
Stars: ✭ 25 (-97.71%)
opt4jModular Java framework for meta-heuristic optimization
Stars: ✭ 25 (-97.71%)
triangulaGenerate high-quality triangulated and polygonal art from images.
Stars: ✭ 3,775 (+245.38%)
zoofszoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
Stars: ✭ 142 (-87.01%)
BluepyoptBlue Brain Python Optimisation Library
Stars: ✭ 143 (-86.92%)
100daysofmlcodeMy journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.
Stars: ✭ 146 (-86.64%)
Sparse Evolutionary Artificial Neural NetworksAlways sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).
Stars: ✭ 182 (-83.35%)
biteoptDerivative-Free Optimization Method for Global Optimization (C++)
Stars: ✭ 91 (-91.67%)
geneticalgorithm2Supported highly optimized and flexible genetic algorithm package for python
Stars: ✭ 36 (-96.71%)
TorchGATrain PyTorch Models using the Genetic Algorithm with PyGAD
Stars: ✭ 47 (-95.7%)
neuroevolution-robotsNeuroevolution demo through TensorFlow.js, Neataptic, and Box2D
Stars: ✭ 31 (-97.16%)
Awesome Ai AwesomenessA curated list of awesome awesomeness about artificial intelligence
Stars: ✭ 268 (-75.48%)
Dissecting Reinforcement LearningPython code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
Stars: ✭ 512 (-53.16%)
Pagmo2A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Stars: ✭ 540 (-50.59%)
tiny gpTiny Genetic Programming in Python
Stars: ✭ 58 (-94.69%)
GARIGARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.
Stars: ✭ 41 (-96.25%)
evoliGenetic Algorithm and Particle Swarm Optimization
Stars: ✭ 22 (-97.99%)
NeuroEvolution-Flappy-BirdA comparison between humans, neuroevolution and multilayer perceptrons playing Flapy Bird implemented in Python
Stars: ✭ 17 (-98.44%)
Eaopt🍀 Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
Stars: ✭ 718 (-34.31%)
Evolutionary.jlEvolutionary & genetic algorithms for Julia
Stars: ✭ 142 (-87.01%)
MealpyA collection of the state-of-the-art MEta-heuristics ALgorithms in PYthon (mealpy)
Stars: ✭ 72 (-93.41%)
Dino-AIAn AI to teach Google Chrome's dinosaur to jump obstacles.
Stars: ✭ 15 (-98.63%)
JeneticsJenetics - Genetic Algorithm, Genetic Programming, Evolutionary Algorithm, and Multi-objective Optimization
Stars: ✭ 616 (-43.64%)
Gpdotnetv4C# implementation of the various algorithms based on Genetic Algorithm, Genetic Programming and Artificial Neural Networks.
Stars: ✭ 19 (-98.26%)
Dm HaikuJAX-based neural network library
Stars: ✭ 1,010 (-7.59%)
Nsganetv2[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
Stars: ✭ 52 (-95.24%)
Qualia2.0Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.
Stars: ✭ 41 (-96.25%)
MishOfficial Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
Stars: ✭ 1,072 (-1.92%)
Nsga2 MatlabA very fast, 90% vectorized, NSGA-II algorithm in matlab.
Stars: ✭ 40 (-96.34%)
DapsDenoising Autoencoders for Phenotype Stratification
Stars: ✭ 39 (-96.43%)
DeepbrainDeep Learning tools for brain medical images
Stars: ✭ 51 (-95.33%)
BoleroBehavior Optimization and Learning for Robots
Stars: ✭ 39 (-96.43%)
Meme GeneratorMemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.
Stars: ✭ 57 (-94.78%)
Dbn CudaGPU accelerated Deep Belief Network
Stars: ✭ 38 (-96.52%)
Mckinsey Smartcities Traffic PredictionAdventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge
Stars: ✭ 49 (-95.52%)
GeatpyEvolutionary algorithm toolbox and framework with high performance for Python
Stars: ✭ 990 (-9.42%)