Neon-erc20-example - Example of creating SPL token and wrapping it with ERC20 interface in Neon EVM

Overview

Example of wrapping SPL token by ERC2-20 interface in Neon

Requirements

Steps

  1. Find your solana wallet address by typing in command line:

solana address

  1. Airdrop some SOLs to your wallet address from here NOTE Make sure you airdropping to devnet

  2. Check that balance is non-zero (1 SOL will be enough):

solana --url devnet balance

  1. Connect your metamask wallet to Neon Devnet using this settings:

  2. Airdrop some NEONs to your wallet by this link - will drop maximum 10 tokens at a time.

  3. cd to this file's parent directory in command line

  4. Generate keypair for new SPL token:

solana-keygen new -o test-token-mint.json --force

You will be asked for passphrase (can skip this step by pressing Enter)

  1. Create new SPL token by running command:

spl-token --url devnet create-token -- test-token-mint.json

Copy Base59 encoded string returned by this command in line like:

Creating token 3CZZw1DhdzhmWkCBddvDFcPHJsRzG4SktcYg6MtNKY5Z

  1. Convert this Base58 address representation into HEX using this service and copy resulting value

  2. Replace tokenMint value on line 34 by value got on previous step NOTE Add 0x prefix to it

  3. Load ERC20Example.sol file into Remix then compile and deploy it using Injected Web3 Environment on page "Deploy & run transactions" NOTE you should be connected to the same Metamask account that was supplied with airdrop on step 5 and to the same network that was setup on step 4.

  4. Copy ERC20 contract address

  5. Import newly created token into Metamask. Balance should be 0

  6. Run mint_erc20_wrapped_token.py script with 2 arguments:

  • first - contract address got on the step 11
  • second - your Metamask wallet address

For example:

> python3 mint_erc20_wrapped_token.py 0xb19665132A95e06887e085564e43635eCC24e139 0xf71c4DACa893E5333982e2956C5ED9B648818376

After successfull execution balance should change to 1000

Official code of ICCV2021 paper "Residual Attention: A Simple but Effective Method for Multi-Label Recognition"

CSRA This is the official code of ICCV 2021 paper: Residual Attention: A Simple But Effective Method for Multi-Label Recoginition Demo, Train and Vali

163 Dec 22, 2022
Learning Saliency Propagation for Semi-supervised Instance Segmentation

Learning Saliency Propagation for Semi-supervised Instance Segmentation PyTorch Implementation This repository contains: the PyTorch implementation of

Berkeley DeepDrive 68 Oct 18, 2022
Implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch

Neural Distance Embeddings for Biological Sequences Official implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTo

Gabriele Corso 56 Dec 23, 2022
Quantized models with python

quantized-network download .pth files to qmodels/: googlenet : https://download.

adreamxcj 2 Dec 28, 2021
Breast-Cancer-Prediction

Breast-Cancer-Prediction Trying to predict whether the cancer is benign or malignant using REGRESSION MODELS in Python. Team Members NAME ROLL-NUMBER

Shyamdev Krishnan J 3 Feb 18, 2022
The AugNet Python module contains functions for the fast computation of image similarity.

AugNet AugNet: End-to-End Unsupervised Visual Representation Learning with Image Augmentation arxiv link In our work, we propose AugNet, a new deep le

Ming 74 Dec 28, 2022
Deep Reinforcement Learning based autonomous navigation for quadcopters using PPO algorithm.

PPO-based Autonomous Navigation for Quadcopters This repository contains an implementation of Proximal Policy Optimization (PPO) for autonomous naviga

Bilal Kabas 16 Nov 11, 2022
Official Pytorch implementation for video neural representation (NeRV)

NeRV: Neural Representations for Videos (NeurIPS 2021) Project Page | Paper | UVG Data Hao Chen, Bo He, Hanyu Wang, Yixuan Ren, Ser-Nam Lim, Abhinav S

hao 214 Dec 28, 2022
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Overview PyTorch 0.4.1 | Python 3.6.5 Annotated implementations with comparative introductions for minimax, non-saturating, wasserstein, wasserstein g

Shayne O'Brien 471 Dec 16, 2022
PyTorch wrapper for Taichi data-oriented class

Stannum PyTorch wrapper for Taichi data-oriented class PRs are welcomed, please see TODOs. Usage from stannum import Tin import torch data_oriented =

86 Dec 23, 2022
Sentiment analysis translations of the Bhagavad Gita

Sentiment and Semantic Analysis of Bhagavad Gita Translations It is well known that translations of songs and poems not only breaks rhythm and rhyming

Machine learning and Bayesian inference @ UNSW Sydney 3 Aug 01, 2022
Library for fast text representation and classification.

fastText fastText is a library for efficient learning of word representations and sentence classification. Table of contents Resources Models Suppleme

Facebook Research 24.1k Jan 01, 2023
MetaDrive: Composing Diverse Scenarios for Generalizable Reinforcement Learning

MetaDrive: Composing Diverse Driving Scenarios for Generalizable RL [ Documentation | Demo Video ] MetaDrive is a driving simulator with the following

DeciForce: Crossroads of Machine Perception and Autonomy 276 Jan 04, 2023
Unofficial Implement PU-Transformer

PU-Transformer-pytorch Pytorch unofficial implementation of PU-Transformer (PU-Transformer: Point Cloud Upsampling Transformer) https://arxiv.org/abs/

Lee Hyung Jun 7 Sep 21, 2022
My implementation of DeepMind's Perceiver

DeepMind Perceiver (in PyTorch) Disclaimer: This is not official and I'm not affiliated with DeepMind. My implementation of the Perceiver: General Per

Louis Arge 55 Dec 12, 2022
Official repository for the NeurIPS 2021 paper Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided curriculum Learning Approach

Get Fooled for the Right Reason Official repository for the NeurIPS 2021 paper Get Fooled for the Right Reason: Improving Adversarial Robustness throu

Sowrya Gali 1 Apr 25, 2022
PyTorch code for Composing Partial Differential Equations with Physics-Aware Neural Networks

FInite volume Neural Network (FINN) This repository contains the PyTorch code for models, training, and testing, and Python code for data generation t

Cognitive Modeling 20 Dec 18, 2022
⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.

Optimized Einsum Optimized Einsum: A tensor contraction order optimizer Optimized einsum can significantly reduce the overall execution time of einsum

Daniel Smith 653 Dec 30, 2022
Repo 4 basic seminar §How to make human machine readable"

WORK IN PROGRESS... Notebooks from the Seminar: Human Machine Readable WS21/22 Introduction into programming Georg Trogemann, Christian Heck, Mattis

experimental-informatics 3 May 29, 2022
Implement of homography net by pytorch

HomographyNet Implement of homography net by pytorch Brief Introduction This project is based on the work Homography-Net: @article{detone2016deep, t

ronghao_CN 4 May 19, 2022