Tezos Reward Distributor (TRD): A reward distribution software for tezos bakers.
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Updated
Jul 10, 2024 - Python
Tezos Reward Distributor (TRD): A reward distribution software for tezos bakers.
A project created to automate the process of earning Microsoft Rewards 🏅 points through targeted searches, thereby boosting rewards balance.🧑💻💡
Give people rewards for having your discord server link in their status.
TicTacTo is a little Project written in Python. It is a TicTacTo game purely in the console. It is just using one external library which is keyboard. It's not that simple there is a little surprise. You can play against an AI (based on minimax algorithm) or you can just play locally with a friend.
专门为github开发者免费领取fluence福利二创建的工具, 通过此工具可免费领取Fluence开发者福利
Experimental version of Stable Baslines3 which expands SB3 2.2.1 to be able to define a multi algorithm training. Usage will be based on defer actions, observation space and rewards between its inner algorithms (PPO, DQN, SAC...). It is thought for projects which may rely on different strategies for different actions with a focused training
Automates Microsoft rewards.
🤖 Automate Bing Searches 🔍, Quizzes 🧪, Polls 📝, & more for Bing Rewards. 💸
The "Bing Search Automation Script" is a Python script designed to automate Microsoft Bing searches with ease. This script provides a convenient and efficient way to interact with the Bing search engine programmatically, saving time and effort for tasks that involve multiple. This description is written by ChatGPT.
An awesome tool-kit for genesis preparation of Cosmos-SDK and Tendermint-based projects
This project is about implementing the reinforcement learning algorithm Deep Q-Learning on the Nokia's Snake Game to predict the actions. It makes use of the Python's Pygame and Pytorch libraries.
Tool coded in python to claim your Fortnite Save The World daily reward quickly without opening the game
A bot designed to track rewards and manage PocketNetwork nodes
Model Free TD(λ) implementation for pathfinding in a grid world. Makes use of Q Learning
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