Popular GitHub Repositories for Emergent

PyTorch Implementation of EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"

Biologically based neural network simulations of the brain written in Go with a 3D GUI powered by Cogent Core.

An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates concepts from neural fields, top-down-bottom-up processing, and attention (consensus between columns), for emergent part-whole heirarchies from data

Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.

Go implementation of Leabra algorithm for biologically-based models of cognition, based on emergent framework (with Python interface)

An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data

[ICLR 2022] Linking Emergent and Natural Languages via Corpus Transfer

Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity".

emergent GUI and other support for pytorch networks: provides a NetView for torch networks

ALife simulation with Python: patterns, behavior, and cognition.

Exploring fractals generated from symbolic billiards, irrational discretization, and curved surface slicing. A bridge between number theory and emergent geometry.

A revolutionary Mental Operating System that unlocks your innate genius and peak mental performance through powerful cognitive patterns and principles, transforming how you live, think, learn, solve complex problems, and even how you interact with AI. Discover extraordinary problem-solving abilities and generate breakthrough insights. ?

Recently I have been researching emergent complexities through first principles reductionism of Langton's Ant in the hopes that they could potentially offer insights into the emergent intricacies of frontier large language models.

Code and materials for the paper S. Phelps and Y. I. Russell, Investigating Emergent Goal-Like Behaviour in Large Language Models Using Experimental Economics, working paper, arXiv:2305.07970, May 2023

Emergent Trading Strategies with DQN in Stock Market Trading This repository contains the implementation of a Deep Q-Network (DQN), applied to the realm of stock market trading. This repository also holds the code for research paper "Emergent Trading Strategies from Deep Reinforcement Learning Models in Stock Market Trading".

Running RL algorithms on the fish/shark aquarium environment to find unexpected biological insights.

Toolkits, instructions, prompts, bibliographies, and research support designed to enhance/test LLM metacognitive/contextual awareness, address deficiencies, and unlock emergent properties/human-AI symbiosis.

A thorough exploration of Reinforcement Learning through OpenAI Gymnasiums. Inspired by OpenAI's "Emergent tool use form multi-agent interaction".