vpetrea71's starred repositories
TripPlanner
Using the Multiagent system of the CrewAI and Latest llama-3.1-70b-versatile by the Groq API
RL-Bitcoin-trading-bot
Trying to create Reinforcement Learning powered Bitcoin trading bot
agent-zero
Agent Zero AI framework
MT5-TradingToolCrypto
All the tradingtools: crypto integration to metatrader including cryptobridgepro, crypto charts, paymentbot, indicators, robots are located here. Just download the zip folder, drag and drop into Metatrader 5 directory
mama-bandits
Code for Multi-Agent Multi-Armed Bandits, final project for CS 136 – i.e. (💪🎰💪) x n
Conflict-Resolution-in-AI-agent-systems-within-the-O-RAN
This is the repository where I will be developing the xAPPs and the conflicts between them with a RL algorithm called DQN
learning-to-communicate-pytorch
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
dqn-multi-agent-rl
Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)
node-binance-trader
💰 Cryptocurrency Trading Strategy & Portfolio Management Development Framework for Binance. 🤖
adamant-tradebot
Free self-hosted market-making software for cryptocurrency projects and exchanges. Makes trade volume, maintains spread and liquidity/depth, set price range, and builds live-like dynamic order book.
cryptocom_deriv
crypto.com derivates bot, crypto.com derivados , permite operar long/ short y apalancamiento
TensorRT-LLM
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
mt5_AI_trading_bot
Apply LSTM neural network and reinforcement learning to trading Forex on mt5
Tic-Tac-Toe_Reinforcement-Learning
This project implements a Reinforcement Learning (RL) agent that learns to play the classic game of Tic-Tac-Toe using the Q-learning algorithm. The agent is trained to play optimally through interactions with a teacher agent, which provides guidance based on the optimal strategy with a specified probability.
AIFinanceProject
RL Trading agent, using Reinforcement Learning
Galaga_RL_AI
A poor USU CS 5640 student's attempt to implement a singular and double DQN agent to play the game Galaga: Demons of Death and then contrast the two.
AI-Mouse---Hand-Gesture-Recognition
This project demonstrates an innovative way to interact with a PC, using intuitive hand gestures to perform common tasks without the need for physical contact with a mouse or keyboard. It has potential applications in various fields, including accessibility, gaming, and hands-free computing.
Price-Predict
Crypto & Stock* price prediction with regression models.