Bot developed in Python that automates races in pegaxy.

Overview

Logo

espaรฑol | portuguรชs

About it:

This is a fork from pega-racing-bot. This bot, developed in Python, is to automate races in pegaxy. The game developers do not allow the use of bots. It was developed for study purposes only, not responsible for any penalties that may be incurred for using it. Use it at your own risk.

The software is free and open source and should not be used for commercial purposes. Pull requests are welcome.

How to install it:

1 - Download Python from official website here.

2 - Install Python on your OS. (Remeber to add PYTHON to path)

3 - Open your terminal (Command prompt).

4 - Go to bot folder using following command:

cd c:/pegaxy-runner-bot

Here i recommend you installing virtualenv as a good practice, so you don't fill your computer with packages that you won't use later, or cause bug with other python applications. The processes below are not required. Remember if you do that will always have to activate it before using the bot.

To install virtualenv use pip:

pip install virtualenv

To create a new virtualenv named venv:

pip install virtualenv

To activate virtualenv:

.\venv\Scripts\activate

You can see now a (venv) that is the name of virtualenv you created.

5 - Install all requeriments using following command:

pip install -r requirements.txt

or you can install it manually using following commands:

pip install pillow
pip install opencv-python
pip install pyautogui
pip install mss
pip install colorama

6 - Recommend you take all screenshots from folder screenshots using LightShot

7 - Run bot using following command:

Remember that you must be on the pegaxy's website with your metamask connected.

python main.py

8 - Use CTRL + C to STOP script.

To do ๐ŸŽฏ :

- Organize code.
- Solve start buttom bug.
- Solve expected bug if user has less than three horses (IndexError).
- Make code smarter, work only if energy != 0/0.
- Take horses name.
- Save race data by horse.

Found a bug or questions?

Feel free to open an issue.

Do you like it ? Buy me a coffee or a horse! Wallet (Polygon / BSC):

0xEEf8F8023C3d24276Bd807705C213d6994c064b6
Multimodal Temporal Context Network (MTCN)

Multimodal Temporal Context Network (MTCN) This repository implements the model proposed in the paper: Evangelos Kazakos, Jaesung Huh, Arsha Nagrani,

Evangelos Kazakos 13 Nov 24, 2022
A tensorflow implementation of Fully Convolutional Networks For Semantic Segmentation

##A tensorflow implementation of Fully Convolutional Networks For Semantic Segmentation. #USAGE To run the trained classifier on some images: python w

Alex Seewald 13 Nov 17, 2022
Source code of our BMVC 2021 paper: AniFormer: Data-driven 3D Animation with Transformer

AniFormer This is the PyTorch implementation of our BMVC 2021 paper AniFormer: Data-driven 3D Animation with Transformer. Haoyu Chen, Hao Tang, Nicu S

24 Nov 02, 2022
Aws-machine-learning-university-accelerated-tab - Machine Learning University: Accelerated Tabular Data Class

Machine Learning University: Accelerated Tabular Data Class This repository contains slides, notebooks, and datasets for the Machine Learning Universi

AWS Samples 916 Dec 23, 2022
Age and Gender prediction using Keras

cnn_age_gender Age and Gender prediction using Keras Dataset example : Description : UTKFace dataset is a large-scale face dataset with long age span

XN3UR0N 58 May 03, 2022
Neural Dynamic Policies for End-to-End Sensorimotor Learning

This is a PyTorch based implementation for our NeurIPS 2020 paper on Neural Dynamic Policies for end-to-end sensorimotor learning.

Shikhar Bahl 47 Dec 11, 2022
Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.

MIMIC-III Benchmarks Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database. Currently, the benchmark data

Chengxi Zang 6 Jan 02, 2023
Bolt Online Learning Toolbox

Bolt Online Learning Toolbox Bolt features discriminative learning of linear predictors (e.g. SVM or Logistic Regression) using fast online learning a

Peter Prettenhofer 87 Dec 12, 2022
A simple image/video to Desmos graph converter run locally

Desmos Bezier Renderer A simple image/video to Desmos graph converter run locally Sample Result Setup Install dependencies apt update apt install git

Kevin JY Cui 339 Dec 23, 2022
Robust & Reliable Route Recommendation on Road Networks

NeuroMLR: Robust & Reliable Route Recommendation on Road Networks This repository is the official implementation of NeuroMLR: Robust & Reliable Route

4 Dec 20, 2022
Official repository of Semantic Image Matting

Semantic Image Matting This is the official repository of Semantic Image Matting (CVPR2021). Overview Natural image matting separates the foreground f

192 Dec 29, 2022
[NeurIPS-2021] Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation

Efficient Graph Similarity Computation - (EGSC) This repo contains the source code and dataset for our paper: Slow Learning and Fast Inference: Effici

23 Nov 11, 2022
Info and sample codes for "NTU RGB+D Action Recognition Dataset"

"NTU RGB+D" Action Recognition Dataset "NTU RGB+D 120" Action Recognition Dataset "NTU RGB+D" is a large-scale dataset for human action recognition. I

Amir Shahroudy 578 Dec 30, 2022
I-BERT: Integer-only BERT Quantization

I-BERT: Integer-only BERT Quantization HuggingFace Implementation I-BERT is also available in the master branch of HuggingFace! Visit the following li

Sehoon Kim 139 Dec 27, 2022
Paddle implementation for "Highly Efficient Knowledge Graph Embedding Learning with Closed-Form Orthogonal Procrustes Analysis" (NAACL 2021)

ProcrustEs-KGE Paddle implementation for Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis ๐Ÿ™ˆ A more detailed re

Lincedo Lab 4 Jun 09, 2021
ํ†ต์ผ๋œ DataScience ํด๋” ๊ตฌ์กฐ ์ œ๊ณต ๋ฐ ๊ฐ€์ƒํ™˜๊ฒฝ ์ž‘์—…์˜ ๋ถ€๋‹ด๊ฐ ํ•ด์†Œ

Lucas coded by linux shell ๋ชฉ์ฐจ Mac๋ฒ„์ „ CookieCutter (autoenv) 1.How to Install autoenv 2.ํด๋” ์ง„์ž… ์‹œ, activate ๊ตฌํ˜„ํ•˜๊ธฐ 3.ํด๋” ํƒˆ์ถœ ์‹œ, deactivate ๊ตฌํ˜„ํ•˜๊ธฐ 4.Alias ์„ค์ •ํ•˜๊ธฐ 5

ello 3 Feb 21, 2022
Multi-task Learning of Order-Consistent Causal Graphs (NeuRIPs 2021)

Multi-task Learning of Order-Consistent Causal Graphs (NeuRIPs 2021) Authors: Xinshi Chen, Haoran Sun, Caleb Ellington, Eric Xing, Le Song Link to pap

Xinshi Chen 2 Dec 20, 2021
ICNet and PSPNet-50 in Tensorflow for real-time semantic segmentation

Real-Time Semantic Segmentation in TensorFlow Perform pixel-wise semantic segmentation on high-resolution images in real-time with Image Cascade Netwo

Oles Andrienko 219 Nov 21, 2022
Improving Deep Network Debuggability via Sparse Decision Layers

Improving Deep Network Debuggability via Sparse Decision Layers This repository contains the code for our paper: Leveraging Sparse Linear Layers for D

Madry Lab 35 Nov 14, 2022
Code for "Adversarial Training for a Hybrid Approach to Aspect-Based Sentiment Analysis

HAABSAStar Code for "Adversarial Training for a Hybrid Approach to Aspect-Based Sentiment Analysis". This project builds on the code from https://gith

1 Sep 14, 2020