True per-item rarity for Loot

Overview

True-Rarity

True per-item rarity for Loot (For Adventurers) and More Loot A.K.A mLoot

  • each out/true_rarity_{item_type}.json file contains probabilities for each item of that type, even if the item is impossible.
  • out/true_rarity_condensed.json contains probabilities for every possible item.

Item probabilities by tier:

Item counts by tier:

Background & personal notes

Rarity metrics

The community currently (2021-09-06) tends to judge bags based on a few different metrics, including:

  1. Rarity of individual items within the bag, where rarity is based on how many exist today
  2. Combined rarity of individual items within the bag, where rarity is based on how many exist today
  3. Combined greatness value of the items within the bag

1 and 2 are closely related, and the "true rarity" data in this repo is meant to complement those. Since mLoot is perpetually releasing new bags, an item that's rare today may not be that rare soon. For example: "Blight Peak Shoes of Perfection +1" are currently 1/1, but really are expected to come up every ~116k bags. It just so happened there was only 1 in the first 1.3m. Next will be in 1400184.
"True rarity" doesn't care about which mLoot bags are released today, and instead shows the actual rarity of each item, assuming infinite bags.

This repo does not focus on any greatness calculations (3), because AFAIA, greatness is not directly used by any derivatives.

Impossible items

Also, as demonstrated in the true rarity data, a huge number of items are simply impossible. As an example, it's impossible to have Divine Robe with +1 or even a prefix. This is due to the modular arithmetic in the original implementation.

Of 4,015,861 total items, only 72,229 (1.8%) are possible.

Owner
Dan R.
Enthusiastic about tech, music, and their intersection! Side projects at sadlok.com. Member of youtube.com/plentakill
Dan R.
RLBot Python bindings for the Rust crate rl_ball_sym

RLBot Python bindings for rl_ball_sym 0.6 Prerequisites: Rust & Cargo Build Tools for Visual Studio RLBot - Verify that the file %localappdata%\RLBotG

Eric Veilleux 2 Nov 25, 2022
Official PyTorch implementation of "RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on" (IJCAI-ECAI 2022)

RMGN-VITON RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on In IJCAI-ECAI 2022(short oral). [Paper] [Supplementary Material] Abstra

27 Dec 01, 2022
Implementation of the final project of the course DDA6309 Probabilistic Graphical Model

Task-aware Joint CWS and POS (TCwsPos) This is the implementation of the final project of the course DDA6309 Probabilistic Graphical Models, The Chine

Peng 1 Dec 26, 2021
a reimplementation of LiteFlowNet in PyTorch that matches the official Caffe version

pytorch-liteflownet This is a personal reimplementation of LiteFlowNet [1] using PyTorch. Should you be making use of this work, please cite the paper

Simon Niklaus 365 Dec 31, 2022
the official implementation of the paper "Isometric Multi-Shape Matching" (CVPR 2021)

Isometric Multi-Shape Matching (IsoMuSh) Paper-CVF | Paper-arXiv | Video | Code Citation If you find our work useful in your research, please consider

Maolin Gao 9 Jul 17, 2022
EPSANet:An Efficient Pyramid Split Attention Block on Convolutional Neural Network

EPSANet:An Efficient Pyramid Split Attention Block on Convolutional Neural Network This repo contains the official Pytorch implementaion code and conf

Hu Zhang 175 Jan 07, 2023
Home for cuQuantum Python & NVIDIA cuQuantum SDK C++ samples

Welcome to the cuQuantum repository! This public repository contains two sets of files related to the NVIDIA cuQuantum SDK: samples: All C/C++ sample

NVIDIA Corporation 147 Dec 27, 2022
Job Assignment System by Real-time Emotion Detection

Emotion-Detection Job Assignment System by Real-time Emotion Detection Emotion is the essential role of facial expression and it could provide a lot o

1 Feb 08, 2022
A package related to building quasi-fibration symmetries

qf A package related to building quasi-fibration symmetries. If you'd like to learn more about how it works, see the brief explanation and References

Paolo Boldi 1 Dec 01, 2021
Weakly Supervised Scene Text Detection using Deep Reinforcement Learning

Weakly Supervised Scene Text Detection using Deep Reinforcement Learning This repository contains the setup for all experiments performed in our Paper

Emanuel Metzenthin 3 Dec 16, 2022
Code and data for the paper "Hearing What You Cannot See"

Hearing What You Cannot See: Acoustic Vehicle Detection Around Corners Public repository of the paper "Hearing What You Cannot See: Acoustic Vehicle D

TU Delft Intelligent Vehicles 26 Jul 13, 2022
Implementation of Fast Transformer in Pytorch

Fast Transformer - Pytorch Implementation of Fast Transformer in Pytorch. This only work as an encoder. Yannic video AI Epiphany Install $ pip install

Phil Wang 167 Dec 27, 2022
This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille).

TransFG: A Transformer Architecture for Fine-grained Recognition Official PyTorch code for the paper: TransFG: A Transformer Architecture for Fine-gra

Ju He 307 Jan 03, 2023
High-Resolution Image Synthesis with Latent Diffusion Models

Latent Diffusion Models arXiv | BibTeX High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach*, Andreas Blattmann*, Dominik Lorenz

CompVis Heidelberg 5.6k Dec 30, 2022
FLVIS: Feedback Loop Based Visual Initial SLAM

FLVIS Feedback Loop Based Visual Inertial SLAM 1-Video EuRoC DataSet MH_05 Handheld Test in Lab FlVIS on UAV Platform 2-Relevent Publication: Under Re

UAV Lab - HKPolyU 182 Dec 04, 2022
Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter Pruning

Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter Pruning This repository is official Tensorflow implementation of paper: Ensemb

Seunghyun Lee 12 Oct 18, 2022
A semantic segmentation toolbox based on PyTorch

Introduction vedaseg is an open source semantic segmentation toolbox based on PyTorch. Features Modular Design We decompose the semantic segmentation

407 Dec 15, 2022
Pytorch implementation code for [Neural Architecture Search for Spiking Neural Networks]

Neural Architecture Search for Spiking Neural Networks Pytorch implementation code for [Neural Architecture Search for Spiking Neural Networks] (https

Intelligent Computing Lab at Yale University 28 Nov 18, 2022
Hub is a dataset format with a simple API for creating, storing, and collaborating on AI datasets of any size.

Hub is a dataset format with a simple API for creating, storing, and collaborating on AI datasets of any size. The hub data layout enables rapid transformations and streaming of data while training m

Activeloop 5.1k Jan 08, 2023
Annotate with anyone, anywhere.

h h is the web app that serves most of the https://hypothes.is/ website, including the web annotations API at https://hypothes.is/api/. The Hypothesis

Hypothesis 2.6k Jan 08, 2023