CarsonScott / self-organizing-predictions
In which prediction agents organize themselves through competition.
☆24Updated 8 years ago
Alternatives and similar repositories for self-organizing-predictions:
Users that are interested in self-organizing-predictions are comparing it to the libraries listed below
- Online machine learning algorithm that makes predictions about the environment to improve itself.☆60Updated 7 years ago
- A theoretical framework for systems with mathematical neural-esque properties.☆9Updated 7 years ago
- A Goal-Oriented Approach to Knowledge Discovery in Multi-Agent Systems☆41Updated 7 years ago
- An agent library for systems of nested automata.☆42Updated 7 years ago
- A probabilistic programming language, based on Church☆17Updated 7 years ago
- Online feature-extraction and classification algorithm that learns representations of input patterns.☆31Updated 7 years ago
- Simple, small, fully-connected Python version of NeoRL☆11Updated 8 years ago
- Generative Sparse Distributed Representations, a fast generative model written in Python (Original C++ implementation https://github.com/…☆24Updated 8 years ago
- Sample code for generative recurrent autoencoders.☆25Updated 8 years ago
- Conditional Associative Logic Memory☆27Updated 7 years ago
- A CUDA implementation of the Tsetlin Machine based on bitwise operators☆26Updated 5 years ago
- MC-AIXI-CTW by Marcus Hutter and his students (in particular Daniel Visentin)☆47Updated 13 years ago
- ☆43Updated 2 years ago
- Algorithmic Intelligence Quotient☆39Updated 3 years ago
- Code base for "Innovation Engines" GECCO 2015 paper☆29Updated 7 years ago
- Using the Tsetlin Machine to learn human-interpretable rules for high-accuracy text categorization with medical applications☆48Updated 5 years ago
- ☆59Updated 8 years ago
- Infinite relational model (IRM) for datamicroscopes☆14Updated 9 years ago
- Neocortex-like reinforcement learning that runs on the GPU or CPU (OpenCL)☆69Updated 8 years ago
- Evolutionary feature synthesis☆17Updated 9 years ago
- Easily declare large spaces of (keras) neural networks and run (hyperopt) optimization experiments on them.☆52Updated 7 years ago
- Unsupervised ML algorithm for predictive modeling and time-series analysis☆38Updated 4 years ago
- ProbLog 2 is now at https://github.com/ML-KULeuven/problog☆10Updated 5 years ago
- Implementation of the Monte-Carlo CTW AIXI approximation as described by Joel Veness et al.☆12Updated 8 years ago
- Computational graph library for machine learning☆46Updated 6 years ago
- Implementation of Sparse Distributed Memory created by Pentti Kanerva in 1988.☆48Updated 6 years ago
- Reinforcement learning in TensorFlow 2☆22Updated 2 years ago
- code referenced in "Towards universal neural nets: Gibbs machines and ACE", Galin Georgiev, http://arxiv.org/abs/1508.06585☆14Updated 9 years ago
- Tool for executing python on AWS instances☆19Updated 7 years ago