Algo-burn - Script to configure an Algorand address as a "burn" address for one or more ASA tokens

Overview

Algorand Burn Address

This is a simple script to illustrate how a "burn address" can be generated for one or more Algorand Standard Assets (ASAs). Since addresses need to be "opted-in" to receive a specific ASA, it is not possible to just send tokens to a random address.

The script uses a similar approach to what the Algorand Foundation used to burn Early Redemption Auction Tokens. All details can be found here: https://algorand.foundation/news/the-algorand-foundation-today-confirm-token-burn

Since we are not burning ALGOs (that would require to only send ALGOs to a random address) we are using a process called 're-keying' so that, once the burn address is configured accordingly, its "authorized account" is set to a random public address.

Process is as follow:

  • Fund a "burn" address with the amount of Algo required to opt-into one or more ASAs
  • Add a ".env" file with burn address and its mnemonic key
  • Pick a list of assets you want to burn and modify the script accordingly
  • Pick a date and modify the script accordingly. This is used to generate a random (verifiable) address
  • Run the code

If code is successful and you run it twice, it will fail the second time since you don't have the authorization to sign transactions for the burn address anymore.

This has been used to generate a burn address for AlgoScout (ASA ID: 569120128)

Here are the links to the SCOUT opt-in and re-keying transactions:

https://algoexplorer.io/tx/FDSOCKQPB7CM67XJJOT62Y7C3QZXA2BGYIT7JM5FKM7WXAHAGEVA https://algoexplorer.io/tx/DTLKTFMO4WKYB7LDIDYORA6TFJPD7LZWMDMEYHEIFMOI6PAR3C4A

NOTE: burnt tokens will still be included in the total circulating supply calculation.

This package is for running the semantic SLAM algorithm using extracted planar surfaces from the received detection

Semantic SLAM This package can perform optimization of pose estimated from VO/VIO methods which tend to drift over time. It uses planar surfaces extra

Hriday Bavle 125 Dec 02, 2022
Codes for ACL-IJCNLP 2021 Paper "Zero-shot Fact Verification by Claim Generation"

Zero-shot-Fact-Verification-by-Claim-Generation This repository contains code and models for the paper: Zero-shot Fact Verification by Claim Generatio

Liangming Pan 47 Jan 01, 2023
Code in conjunction with the publication 'Contrastive Representation Learning for Hand Shape Estimation'

HanCo Dataset & Contrastive Representation Learning for Hand Shape Estimation Code in conjunction with the publication: Contrastive Representation Lea

Computer Vision Group, Albert-Ludwigs-Universität Freiburg 38 Dec 13, 2022
Manifold-Mixup implementation for fastai V2

Manifold Mixup Unofficial implementation of ManifoldMixup (Proceedings of ICML 19) for fast.ai (V2) based on Shivam Saboo's pytorch implementation of

Nestor Demeure 16 Jul 25, 2022
[ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

When Does Self-Supervision Help Graph Convolutional Networks? PyTorch implementation for When Does Self-Supervision Help Graph Convolutional Networks?

Shen Lab at Texas A&M University 106 Nov 11, 2022
Learning-based agent for Google Research Football

TiKick 1.Introduction Learning-based agent for Google Research Football Code accompanying the paper "TiKick: Towards Playing Multi-agent Football Full

Tsinghua AI Research Team for Reinforcement Learning 90 Dec 26, 2022
Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.

Trading Gym Trading Gym is an open-source project for the development of reinforcement learning algorithms in the context of trading. It is currently

Dimitry Foures 535 Nov 15, 2022
Robot Reinforcement Learning on the Constraint Manifold

Implementation of "Robot Reinforcement Learning on the Constraint Manifold"

31 Dec 05, 2022
DL course co-developed by YSDA, HSE and Skoltech

Deep learning course This repo supplements Deep Learning course taught at YSDA and HSE @fall'21. For previous iteration visit the spring21 branch. Lec

Yandex School of Data Analysis 1.3k Dec 30, 2022
SSPNet: Scale Selection Pyramid Network for Tiny Person Detection from UAV Images.

SSPNet: Scale Selection Pyramid Network for Tiny Person Detection from UAV Images (IEEE GRSL 2021) Code (based on mmdetection) for SSPNet: Scale Selec

Italian Cannon 37 Dec 28, 2022
A custom DeepStack model for detecting 16 human actions.

DeepStack_ActionNET This repository provides a custom DeepStack model that has been trained and can be used for creating a new object detection API fo

MOSES OLAFENWA 16 Nov 11, 2022
[ICLR 2021 Spotlight Oral] "Undistillable: Making A Nasty Teacher That CANNOT teach students", Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang

Undistillable: Making A Nasty Teacher That CANNOT teach students "Undistillable: Making A Nasty Teacher That CANNOT teach students" Haoyu Ma, Tianlong

VITA 71 Dec 28, 2022
Graph Transformer Architecture. Source code for

Graph Transformer Architecture Source code for the paper "A Generalization of Transformer Networks to Graphs" by Vijay Prakash Dwivedi and Xavier Bres

NTU Graph Deep Learning Lab 561 Jan 08, 2023
A simple approach to emable dense segmentation with ViT.

Vision Transformer Segmentation Network This implementation of ViT in pytorch uses a super simple and straight-forward way of generating an output of

HReynaud 5 Jan 03, 2023
Good Classification Measures and How to Find Them

Good Classification Measures and How to Find Them This repository contains supplementary materials for the paper "Good Classification Measures and How

Yandex Research 7 Nov 13, 2022
[BMVC 2021] Official PyTorch Implementation of Self-supervised learning of Image Scale and Orientation Estimation

Self-Supervised Learning of Image Scale and Orientation Estimation (BMVC 2021) This is the official implementation of the paper "Self-Supervised Learn

Jongmin Lee 17 Nov 10, 2022
High-Resolution 3D Human Digitization from A Single Image.

PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization (CVPR 2020) News: [2020/06/15] Demo with Google Colab (i

Meta Research 8.4k Dec 29, 2022
No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency

This repository contains the implementation for the paper: No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consiste

Alireza Golestaneh 75 Dec 30, 2022
PyTorch deep learning projects made easy.

PyTorch Template Project PyTorch deep learning project made easy. PyTorch Template Project Requirements Features Folder Structure Usage Config file fo

Victor Huang 3.8k Jan 01, 2023