snmad's starred repositories
system-design
Learn how to design systems at scale and prepare for system design interviews
100-go-mistakes
📖 100 Go Mistakes and How to Avoid Them
abrash-black-book
Markdown source for Michael Abrash's Graphics Programming Black Book
mini-tokyo-3d
A real-time 3D digital map of Tokyo's public transport system
UMG-Slate-Compendium
A Compendium Information Guide for UMG and Slate in Unreal Engine.
procedural-generation
A mostly javascript-centric resource / links list on procedural content generation (PCG).
UE4MasterServer
This is a plugin for Unreal Engine 4 that adds server registration, deregistration etc with a master server.
TensorFlow-Unreal-Examples
Drag and drop Unreal Engine TensorFlow examples repository.
nakama-unreal
Unreal client for Nakama server.
InfraworldRuntime
A solution that enables Unreal Engine 4 to work with Google gRPC services from either C++ or Blueprints.
UEPlugin-Kdtree
Unreal Engine Plugin: k-d tree
CCiC-Blender-Pipeline-Plugin
Python plugin for CC4 and iClone8 to re-import character exports from CC3/CC4 Blender Tools auto-setup add-on.
Hands-On-Reinforcement-Learning-for-Games
Hands-On Reinforcement Learning for Games, published by Packt
ALS_Component
Based on ALSv4 this is Component
HTN_Plan_Reuse
Unreal Engine 4 Plugin with an HTN Planner and Plan Reuse functionality
Advanced-Camera-Manager
Advanced Player Camera Component
PieMenusPlus
Pie Menus Plus is a complete Pie Menu ecosystem for Blender 2.8+
niche-loops
This add-on includes the following operators: Build End, Build Corner, Adjust Loops, Adjust Adjacent Loops
UE-Protobuf-Plugin
ue protobuf plugin
aws_deepracer_worksheet
Worksheet and Utilities for AWS DeepRacer – one of the most exciting ways of building strong skills in reinforcement learning and through a hands-on approach. This repository offers: 1) Functionally-rich and flexible reward function 2) Utilities with Jupiter notes for Racing Line calculation and visualisation of track 3) Scripts to parse RoboMaker training and evaluation logs to CSV file 4) Sample Excel file for car behaviour analysis as well as designing and planning new reward curves 5) Coordinates and AWS DeepRacer tracks and images.