Stars
This project predicts airline customer booking behavior using machine learning. It involves exploratory data analysis (EDA) of customer booking data and the development of predictive models to unde…
This project leverages machine learning to explore how factors such as airline, booking timing, departure and arrival schedules, source and destination, and class type influence airline ticket prices.
Python script that parses airline IATA and ICAO codes from a website and writes a JSON file
Python package to scrape flight data from Google Flights and analyzes prices. Can determine optimal flight from date, place, and price
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
A unified framework for machine learning with time series
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
A Real-Time-Strategy game for Deep Learning research
Minimized settling time in the formation control of UAVs swarm navigation in the presence of obstacles by optimizing feedback control gains/parameters. Designed and simulated a model of swarm navig…
Isaac Gym Environments for Legged Robots
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
3d manuver decision in air combat situations
利用值函数逼近网络设计无人机空战自主决策系统，目前是初步的程序编写，之后会不断更新和详解。
Air to air combat game, created in Python 3 using HARFANG 3D.