robj0nes Goto Github PK

babelstream

STREAM, for lots of devices written in many programming models

benchmarl

A collection of MARL benchmarks based on TorchRL

brandenburg-models

For classification training on the Brandenburg dataset

brandenburg-tracking

Data sorting and tracklet generation for Brandenburg data

individual-corallite-reconstruction

ipcv-3dfromstereo

lb-foraging

Level-Based Foraging (LBF): A multi-agent reinforcement learning environment

mavsim

Repository for the textbook: Small Unmanned Aircraft: Theory and Practice, by Randy Beard and Tim McLain

ml_labsheets

LabSheets for UoB ML Course

op2-common

OP2: open-source framework for the execution of unstructured grid applications on clusters of GPUs or multi-core CPUs

os161

ops-class.org OS/161 sources.

rob64j

spack

A flexible package manager that supports multiple versions, configurations, platforms, and compilers.

uob_adl_labs

COMSM0045 Applied Deep Learning Labsheets 2022

vectorizedmultiagentsimulator

VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.