Orchestrate Swarms of Agents From Any Framework Like OpenAI, Langchain, and Etc for Real World Workflow Automation. Join our Community: https://discord.gg/DbjBMJTSWD
-
Updated
May 1, 2024 - Python
Orchestrate Swarms of Agents From Any Framework Like OpenAI, Langchain, and Etc for Real World Workflow Automation. Join our Community: https://discord.gg/DbjBMJTSWD
Swarming algorithms like PSO, Ant Colony, Sakana, and more in PyTorch 😊
My implementation of "Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models"
Implementation of MoE Mamba from the paper: "MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts" in Pytorch and Zeta
Implementation of the text to video model LUMIERE from the paper: "A Space-Time Diffusion Model for Video Generation" by Google Research
A compilation of the best multi-agent papers
The next evolution of Agents
Implementation of AutoRT: "AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents"
Storage server for Oxen Service Nodes
The ultimate node.js library for controlling Bitcraze Crazyflie 2.0 drones
Deploy your autonomous agents to production grade environments with 99% Uptime Guarantee, Infinite Scalability, and self-healing.
A python package for Guidance, navigation, and control (GNC) of Autonomous Swarms Using Random finite sets (RFS) developed by the Laboratory for Autonomy, GNC, and Estimation Research (LAGER) at the University of Alabama (UA).
Train a production grade GPT in less than 400 lines of code. Better than Karpathy's verison and GIGAGPT
Implementation of the "the first large-scale multimodal mixture of experts models." from the paper: "Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts"
AthenaOS is a next generation AI-native operating system managed by Swarms of AI Agents
An all-new OS that orchestrates autonomous agents as workers to execute tasks.
SimplifiedTransformer simplifies transformer block without affecting training. Skip connections, projection parameters, sequential sub-blocks, and normalization layers are removed. Experimental results confirm similar training speed and performance.
Add a description, image, and links to the swarms topic page so that developers can more easily learn about it.
To associate your repository with the swarms topic, visit your repo's landing page and select "manage topics."