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DeepHyperNEATA public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See paper here: https://eplex.cs.ucf.edu/papers/sosa_ugrad_report18.pdf
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neat-pythonPython implementation of the NEAT neuroevolution algorithm
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neuro-evolutionA project on improving Neural Networks performance by using Genetic Algorithms.
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evo-NEATA java implementation of NEAT(NeuroEvolution of Augmenting Topologies ) from scratch for the generation of evolving artificial neural networks. Only for educational purposes.
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NEATESTNEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training
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neat-openai-gymNEAT for Reinforcement Learning on the OpenAI Gym
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Applying eannsA 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 modified genetic algorithm.
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AimandshootA neuroevolution game experiment.
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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.
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Super Mario NeatThis program evolves an AI using the NEAT algorithm to play Super Mario Bros.
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Genannsimple neural network library in ANSI C
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Machine Learning Without Any LibrariesThis is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms
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MarianaThe Cutest Deep Learning Framework which is also a wonderful Declarative Language
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Free Ai Resources🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
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Seating ChartOptimizing a Wedding Reception Seating Chart Using a Genetic Algorithm
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Solid🎯 A comprehensive gradient-free optimization framework written in Python
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RadiateRadiate is a parallel genetic programming engine capable of evolving solutions to many problems as well as training learning algorithms.
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CephalopodsEvolving squids through neuroevolution
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HippocratesNo longer maintained, actually usable implementation of NEAT
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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.
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MlkitA simple machine learning framework written in Swift 🤖
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Awesome Quantum Machine LearningHere you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
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Tensorflow-NeuroevolutionNeuroevolution Framework for Tensorflow 2.x focusing on modularity and high-performance. Preimplements NEAT, DeepNEAT, CoDeepNEAT, etc.
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UnityGeneticAlgorithmMazeModern reimplementation in Unity of Bob's Map from AI Techniques for Game Programming
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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).
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Gpdotnetv4C# implementation of the various algorithms based on Genetic Algorithm, Genetic Programming and Artificial Neural Networks.
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Dino-AIAn AI to teach Google Chrome's dinosaur to jump obstacles.
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wargamestwo soldiers shooting at each other, controlled by a neural network with a genetic algorithm.
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NeatronYet another NEAT implementation
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subsemblesubsemble R package for ensemble learning on subsets of data
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AscensionA metaheuristic optimization framework
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reactive-traderIn the coming weeks this plans to become a Gekko plugin that reacts to market changes, finding and running only the most profitable strategies.
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tsp-genetic-pythonA genetic algorithm to solve the Travelling Salesman Problem, implemented in Python. Made by Jack Frigaard, modified by Mauricio Aizaga
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normalizing-flowsImplementations of normalizing flows using python and tensorflow
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EtalerA flexable HTM (Hierarchical Temporal Memory) framework with full GPU support.
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freqgen🎯 Generate DNA sequences with specified amino acid, codon, and k-mer frequencies
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BoxPackingR package for solving three-dimensional bin packing problem
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darwinDarwin C++ and Python Machine Learning Framework for Cyber Security
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calcuMLatorAn intelligently dumb calculator that uses machine learning
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extra-modelCode to run the ExtRA algorithm for unsupervised topic/aspect extraction on English texts.
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NeurapseNuerapse simulations for SNNs
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bonsai-dtProgrammable Decision Tree Framework
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AIML-Human-Attributes-Detection-with-Facial-Feature-ExtractionThis is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.
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