yaricom / goESHyperNEAT
The implementation of evolvable-substrate HyperNEAT algorithm in GO language. ES-HyperNEAT is an extension of the original HyperNEAT method for evolving large-scale artificial neural networks.
☆15Updated 7 months ago
Related projects ⓘ
Alternatives and complementary repositories for goESHyperNEAT
- This project provides GOLang implementation of Neuro-Evolution of Augmenting Topologies (NEAT) with Novelty Search optimization aimed to …☆38Updated 3 months ago
- Pure Python Library for ES-HyperNEAT. Contains implementations of HyperNEAT and ES-HyperNEAT.☆114Updated 10 months ago
- Cartesian Genetic Programming for Go☆12Updated 7 years ago
- Cognitive Computing with Associative Memory☆30Updated 9 months ago
- A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm☆103Updated 3 months ago
- TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT☆120Updated last year
- Neuroevolution framework for Python.☆29Updated 3 years ago
- 3D Visualization tool for HTM systems☆17Updated 2 years ago
- Go implementation of NeuroEvolution of Augmenting Topologies (NEAT)☆33Updated 6 years ago
- A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See…☆71Updated 2 years ago
- Compositional Pattern Producing Networks running on CUDA code inside of a C++ evolutionary framework.☆10Updated 9 years ago
- fork of Kenneth Stanley's NEAT☆55Updated 5 years ago
- Practical Tool for Building ML Applications with HTM-Like Algorithms☆59Updated 2 months ago
- The original implementation of HyperNEAT in C++☆91Updated 7 years ago
- Implementation, configuration files, and parsing scripts for the Analysis of Cartesian Genetic Programming’s Evolutionary Mechanisms publ…☆19Updated 9 years ago
- Synthesis with Metaheuristics - Genetic Programming in Scala☆15Updated 5 years ago
- Experimental algorithms. Unsupported.☆107Updated 4 months ago
- Python implementation of the NEAT neuroevolution algorithm☆33Updated 7 years ago
- The GOLang implementation of NeuroEvolution of Augmented Topologies (NEAT) method to evolve and train Artificial Neural Networks without …☆75Updated 2 months ago
- A Python implementation of the "CoSyne" algorithim, as described in this paper: https://pdfs.semanticscholar.org/966e/41903b4aff42601a188…☆24Updated 6 years ago
- Actively developed Hierarchical Temporal Memory (HTM) community fork (continuation) of NuPIC. Implementation for C++ and Python☆151Updated last month
- Non-Axiomatic Causal Explorer☆15Updated last week
- Overview of the current state of 'Neuroevolution of Augmenting Topologies' as a seminar paper☆16Updated 5 years ago
- A NARS implemented as a GPT model prompted to invoke reasoning steps, with NARS-based memory and control machinery implemented in Python.☆40Updated 9 months ago
- A Non-Axiomatic Reasoning System implemented in Python☆26Updated 6 months ago
- Kenneth Stanley's NEAT code reorganized (tidier?)☆97Updated 4 years ago
- Sparsey, trademark Neurithmic Systems, is unsupervised learning algorithm inspired from the computations of cortical macro-columns and mi…☆12Updated last year
- Swift implementation of Pei Wang's Non-Axiomatic Logic☆13Updated 4 months ago
- Program Synthesis framework that features heuristics methods (e.g., Genetic Programming) and grammars are defined in Python dataclasses☆36Updated this week
- Supporting code for Building HTM Systems document.☆29Updated 4 years ago