ml-agents

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

UnityCsReference

Unity C# reference source code.

EntityComponentSystemSamples

FPSSample

A first person multiplayer shooter example project in Unity

PostProcessing

Post Processing Stack

arfoundation-samples

Example content for Unity projects based on AR Foundation

NavMeshComponents

High Level API Components for Runtime NavMesh Building

Graphics

Unity Graphics - Including Scriptable Render Pipeline

BoatAttack

Demo Project using the Universal RP from Unity3D

AssetBundles-Browser

Editor tool for viewing and debugging asset bundle contents before and after builds

com.unity.netcode.gameobjects

Netcode for GameObjects is a high-level netcode SDK that provides networking capabilities to GameObject/MonoBehaviour workflows within Unity and sits on top of underlying transport layer.

Unity-Robotics-Hub

Central repository for tools, tutorials, resources, and documentation for robotics simulation in Unity.