Underwater SWarm sIMulator (SWIM)
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Updated
Jan 21, 2019 - Java
Underwater SWarm sIMulator (SWIM)
Implementation of Popular Swarm Intelligence Models
Restoring faith in social collaboration : web development for Work Monkey Labs
🚁 Software framework for vision-based quadrotor multi-robot systems
Implementation of the flocking phenomenon with Reynolds Boids
spring-cloud-loadbalance using docker-compose
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.
Pytorch Implementation of the Swarmalators algorithm from "Exotic swarming dynamics of high-dimensional swarmalators"
Generates an interface between Swarms input device and a userland Xpad device.
Cellolution - a simulated evolution of artificial cells in a water world: visible within the "ocean".
An all-new OS that orchestrates autonomous agents as workers to execute tasks.
Robotic Swarm system using MQTT as the communication protocol over Wi-Fi, uses centralised master to monitor and group agents (robots) into the system.
Implements distributed control for a swarm of robots that have a goal of surrounding a static target. The algorithm used is based on a local communication strategy. The robots are simulated in a 2D simulator called Player. Robot model files for the simulator are included.
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"
A CUDA-accelerated robotic swarm simulation.
Implementation of MoE Mamba from the paper: "MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts" in Pytorch and Zeta
Distributed Self-Healing Ground-and-Air Connectivity Chains
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