Processed, version controlled history of Minecraft's generated data and assets

Related tags

Deep Learningmcmeta
Overview

mcmeta

Processed, version controlled history of Minecraft's generated data and assets

Repository structure

Each of the following branches has a commit per version. Starting from 1.14, updated to the latest snapshot. Each commit is tagged <version>-<branch>.

  • summary - Branch with condensed reports from the data generator or assets, in a variety of formats.
    • blocks - Containing block state properties and defaults for all necessary blocks.
    • commands - The brigadier command tree.
    • registries - Collections of resource locations. Including the generated registries, data, and assets.
    • sounds - The sounds.json from assets.
    • versions - A list of versions up to that point ordered with the most recent first. Each entry has the same format as the version.json at the root of each branch.
  • data - The vanilla data as it if would appear in a data pack.
  • data-json - The same as data but only containing json files, so excluding structures.
  • assets - The vanilla assets is if they would appear in a resource pack.
  • assets-json - The same as assets but only containing json files, so excluding textures, sounds and shaders.

Sources

  • Version manifest, a list of versions and metadata, client and server jars by following links
  • Sound files from Mojang's API following the version manifest
  • Data generator using the following command:
    java -cp server.jar net.minecraft.data.Main --server --reports
  • Slicedlime's examples repo for worldgen changes before 1.18-pre1

Credits

This project has taken inspiration from Arcensoth/mcdata and SPGoding/vanilla-datapack.

Disclaimer

mcmeta is not an official Minecraft product, and is not endorsed by or associated with Mojang Studios. All data and assets were obtained through Mojang's internal data generator and public API. If Mojang ever has something against this data existing here, the repository will be promptly removed.

Owner
Misode
Misode
Official repository for GCR rerank, a GCN-based reranking method for both image and video re-ID

Official repository for GCR rerank, a GCN-based reranking method for both image and video re-ID

53 Nov 22, 2022
nn_builder lets you build neural networks with less boilerplate code

nn_builder lets you build neural networks with less boilerplate code. You specify the type of network you want and it builds it. Install pip install n

Petros Christodoulou 157 Nov 20, 2022
Repository for the electrical and ICT benchmark model developed in the ERIGrid 2.0 project.

Benchmark Model Electrical and ICT System This repository contains the documentation, code, and models for the electrical and ICT benchmark model deve

ERIGrid 2.0 1 Nov 29, 2021
Graph Representation Learning via Graphical Mutual Information Maximization

GMI (Graphical Mutual Information) Graph Representation Learning via Graphical Mutual Information Maximization (Peng Z, Huang W, Luo M, et al., WWW 20

93 Dec 29, 2022
A python library for face detection and features extraction based on mediapipe library

FaceAnalyzer A python library for face detection and features extraction based on mediapipe library Introduction FaceAnalyzer is a library based on me

Saifeddine ALOUI 14 Dec 30, 2022
Trax — Deep Learning with Clear Code and Speed

Trax — Deep Learning with Clear Code and Speed Trax is an end-to-end library for deep learning that focuses on clear code and speed. It is actively us

Google 7.3k Dec 26, 2022
"Learning and Analyzing Generation Order for Undirected Sequence Models" in Findings of EMNLP, 2021

undirected-generation-dev This repo contains the source code of the models described in the following paper "Learning and Analyzing Generation Order f

Yichen Jiang 0 Mar 25, 2022
An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

Bottom-Up and Top-Down Attention for Visual Question Answering An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge. The

Hengyuan Hu 731 Jan 03, 2023
Housing Price Prediction

This project aim was to predict the price of houses in the Boston area during the great financial crisis through regression, as well as classify houses into different quality categories according to

Florian Klement 1 Jan 27, 2022
Python implementation of NARS (Non-Axiomatic-Reasoning-System)

Python implementation of NARS (Non-Axiomatic-Reasoning-System)

Bowen XU 11 Dec 20, 2022
This repository accompanies the ACM TOIS paper "What can I cook with these ingredients?" - Understanding cooking-related information needs in conversational search

In this repository you find data that has been gathered when conducting in-situ experiments in a conversational cooking setting. These data include tr

6 Sep 22, 2022
Repository for reproducing `Model-Based Robust Deep Learning`

Model-Based Robust Deep Learning (MBRDL) In this repository, we include the code necessary for reproducing the code used in Model-Based Robust Deep Le

Alex Robey 16 Sep 19, 2022
This repository contains Prior-RObust Bayesian Optimization (PROBO) as introduced in our paper "Accounting for Gaussian Process Imprecision in Bayesian Optimization"

Prior-RObust Bayesian Optimization (PROBO) Introduction, TOC This repository contains Prior-RObust Bayesian Optimization (PROBO) as introduced in our

Julian Rodemann 2 Mar 19, 2022
A human-readable PyTorch implementation of "Self-attention Does Not Need O(n^2) Memory"

memory_efficient_attention.pytorch A human-readable PyTorch implementation of "Self-attention Does Not Need O(n^2) Memory" (Rabe&Staats'21). def effic

Ryuichiro Hataya 7 Dec 26, 2022
Multi-Task Learning as a Bargaining Game

Nash-MTL Official implementation of "Multi-Task Learning as a Bargaining Game". Setup environment conda create -n nashmtl python=3.9.7 conda activate

Aviv Navon 87 Dec 26, 2022
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes (CVPR 2021 Oral)

Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Surfaces Official code release for NGLOD. For technical details, please refer t

659 Dec 27, 2022
(CVPR 2022 - oral) Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry

Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry Official implementation of the paper Multi-View Depth Est

Bae, Gwangbin 138 Dec 28, 2022
The Noise Contrastive Estimation for softmax output written in Pytorch

An NCE implementation in pytorch About NCE Noise Contrastive Estimation (NCE) is an approximation method that is used to work around the huge computat

Kaiyu Shi 287 Nov 25, 2022
Repository for XLM-T, a framework for evaluating multilingual language models on Twitter data

This is the XLM-T repository, which includes data, code and pre-trained multilingual language models for Twitter. XLM-T - A Multilingual Language Mode

Cardiff NLP 112 Dec 27, 2022
Adabelief-Optimizer - Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

AdaBelief Optimizer NeurIPS 2020 Spotlight, trains fast as Adam, generalizes well as SGD, and is stable to train GANs. Release of package We have rele

Juntang Zhuang 998 Dec 29, 2022