Popular GitHub Repositories for Walking Strategy

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

An open source quadruped robot pet framework for developing Boston Dynamics-style four-legged robots that are perfect for STEM, coding & robotics education, IoT robotics applications, AI-enhanced robotics application services, research, and DIY robotics kit development.

An open source quadruped robot pet framework for developing Boston Dynamics-style four-legged robots that are perfect for STEM, coding & robotics education, IoT robotics applications, AI-enhanced robotics application services, research, and DIY robotics kit development.

MiniMax-01 is a simple implementation of the MiniMax algorithm, a widely used strategy for decision-making in two-player turn-based games like Tic-Tac-Toe. The algorithm aims to minimize the maximum possible loss for the player, making it a popular choice for developing AI opponents in various game scenarios.

An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization

2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).

RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).

?This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here: https://purvasingh.medium.com

Enterprise self-hosted Bitcoin Core automated trading software and trading bot, with DCA bot configuration, on-premise TWAP/VWAP strategy scripts, dynamic fee management, CCXT exchange adapter, compliance reporting, OTC desk integration, HSM hardware signing, real-time PnL metrics, and advanced strategy view windows.

Learning to Cluster. A deep clustering strategy.

A multi-player tournament benchmark that tests LLMs in social reasoning, strategy, and deception. Players engage in public and private conversations, form alliances, and vote to eliminate each other

A Real-Time-Strategy game for Deep Learning research

Master Thesis: Limit order placement with Reinforcement Learning

[RA-L 2022] FISS: A Trajectory Planning Framework using Fast Iterative Search and Sampling Strategy for Autonomous Driving

Flappy Bird AI using Evolution Strategies

An open-source implementation of Regional Adaptive Sampling (RAS), a novel diffusion model sampling strategy that introduces regional variability in sampling steps

CivAgent is an LLM-based Human-like Agent acting as a Digital Player within the Strategy Game Unciv.