oysteinsolheim's Stars
ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
FluxML/Flux.jl
Relax! Flux is the ML library that doesn't make you tensor
JuliaGPU/CUDA.jl
CUDA programming in Julia.
facebookresearch/mbrl-lib
Library for Model Based RL
JuliaGraphs/Graphs.jl
An optimized graphs package for the Julia programming language
JuliaDebug/Infiltrator.jl
No-overhead breakpoints in Julia
lanl-ansi/PowerModels.jl
A Julia/JuMP Package for Power Network Optimization
power-grid-lib/pglib-opf
Benchmarks for the Optimal Power Flow Problem
CarloLucibello/GraphNeuralNetworks.jl
Graph Neural Networks in Julia
dillondaudert/UMAP.jl
Uniform Manifold Approximation and Projection (UMAP) implementation in Julia
JuliaContainerization/SimpleContainerGenerator.jl
Create container images for using Julia packages (especially useful in environments without Internet access)
waralex/Dashboards.jl
Julia backend for Plotly Dash
JuliaReinforcementLearning/ReinforcementLearningEnvironments.jl
A one-stop package for different reinforcement learning environments
JuliaReinforcementLearning/ReinforcementLearningZoo.jl
JuliaAI/MLFlowClient.jl
Julia client for MLFlow.
JuliaReinforcementLearning/CommonRLInterface.jl
A minimal reinforcement learning environment interface with additional opt-in features.
JuliaReinforcementLearning/ReinforcementLearningCore.jl
JuliaReinforcementLearning/ReinforcementLearningBase.jl-Archive
WISPO-POP/PowerPlots.jl
Functions plot PowerModels networks
Ju-jl/Ju.jl
A Julia package aims to provide several extensible interfaces and reusable components for Reinforcement Learning.
findmyway/ReinforcementLearningAnIntroduction.jl
Julia code for the book Reinforcement Learning An Introduction