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

NER for Indian languages

CL-NERIL: A Cross-Lingual Model for NER in Indian Languages Code for the paper - https://arxiv.org/abs/2111.11815 Setup Setup a virtual environment Th

Akshara P 0 Nov 24, 2021
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection

FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection This repository contains an implementation of FCAF3D, a 3D object detection method introdu

SamsungLabs 153 Dec 29, 2022
a reimplementation of Optical Flow Estimation using a Spatial Pyramid Network in PyTorch

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

Simon Niklaus 269 Jan 02, 2023
Official repo for SemanticGAN https://nv-tlabs.github.io/semanticGAN/

SemanticGAN This is the official code for: Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalizat

151 Dec 28, 2022
Rainbow DQN implementation that outperforms the paper's results on 40% of games using 20x less data 🌈

Rainbow 🌈 An implementation of Rainbow DQN which reaches a median HNS of 205.7 after only 10M frames (the original Rainbow from Hessel et al. 2017 re

Dominik Schmidt 31 Dec 21, 2022
Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"

Memory Efficient Attention Pytorch Implementation of a memory efficient multi-head attention as proposed in the paper, Self-attention Does Not Need O(

Phil Wang 180 Jan 05, 2023
Unofficial implementation of Proxy Anchor Loss for Deep Metric Learning

Proxy Anchor Loss for Deep Metric Learning Unofficial pytorch, tensorflow and mxnet implementations of Proxy Anchor Loss for Deep Metric Learning. Not

Geonmo Gu 3 Jun 09, 2021
Dual Attention Network for Scene Segmentation (CVPR2019)

Dual Attention Network for Scene Segmentation(CVPR2019) Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang,and Hanqing Lu Introduction W

Jun Fu 2.2k Dec 28, 2022
source code for https://arxiv.org/abs/2005.11248 "Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics"

Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics This work will be published in Nature Biomedical

International Business Machines 71 Nov 15, 2022
Code implementation of Data Efficient Stagewise Knowledge Distillation paper.

Data Efficient Stagewise Knowledge Distillation Table of Contents Data Efficient Stagewise Knowledge Distillation Table of Contents Requirements Image

IvLabs 112 Dec 02, 2022
State-of-the-art data augmentation search algorithms in PyTorch

MuarAugment Description MuarAugment is a package providing the easiest way to a state-of-the-art data augmentation pipeline. How to use You can instal

43 Dec 12, 2022
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!

Robust Video Matting (RVM) English | 中文 Official repository for the paper Robust High-Resolution Video Matting with Temporal Guidance. RVM is specific

flow-dev 2 Aug 21, 2022
A Python Package For System Identification Using NARMAX Models

SysIdentPy is a Python module for System Identification using NARMAX models built on top of numpy and is distributed under the 3-Clause BSD license. N

Wilson Rocha 175 Dec 25, 2022
Unofficial keras(tensorflow) implementation of MAE model from Masked Autoencoders Are Scalable Vision Learners

MAE-keras Unofficial keras(tensorflow) implementation of MAE model described in 'Masked Autoencoders Are Scalable Vision Learners'. This work has been

Yewon 11 Jun 12, 2022
学习 python3 以来写的一些垃圾玩具……

和东哥做兄弟 Author: chiupam 版权 未经本人同意,仓库内所有资源文件,禁止任何公众号、自媒体、开发者进行任何形式的转载、发布、搬运。 声明 这不是一个开源项目,只是把 GitHub 当作一个代码的存储空间,本项目不接受任何开源要求。 仅用于学习研究,禁止用于商业用途,不能保证其合法性

Chiupam 67 Mar 26, 2022
Anti-UAV base on PaddleDetection

Paddle-Anti-UAV Anti-UAV base on PaddleDetection Background UAVs are very popular and we can see them in many public spaces, such as parks and playgro

Qingzhong Wang 2 Apr 20, 2022
PASTRIE: A Corpus of Prepositions Annotated with Supersense Tags in Reddit International English

PASTRIE Official release of the corpus described in the paper: Michael Kranzlein, Emma Manning, Siyao Peng, Shira Wein, Aryaman Arora, and Nathan Schn

NERT @ Georgetown 4 Dec 02, 2021
Train a deep learning net with OpenStreetMap features and satellite imagery.

DeepOSM Classify roads and features in satellite imagery, by training neural networks with OpenStreetMap (OSM) data. DeepOSM can: Download a chunk of

TrailBehind, Inc. 1.3k Nov 24, 2022
Yolov5-lite - Minimal PyTorch implementation of YOLOv5

Yolov5-Lite: Minimal YOLOv5 + Deep Sort Overview This repo is a shortened versio

Kadir Nar 57 Nov 28, 2022
functorch is a prototype of JAX-like composable function transforms for PyTorch.

functorch is a prototype of JAX-like composable function transforms for PyTorch.

Facebook Research 1.2k Jan 09, 2023