lhw-kl's starred repositories
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
My_Bibliography_for_Research_on_Autonomous_Driving
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
Battery_SOC_Estimation
Battery state of charge estimation using kalman filter in Matlab
spatiotemporal_semantic_corridor
Implementation of the paper "Safe Trajectory Generation For Complex Urban Environments Using Spatio-temporal Semantic Corridor".
Arduino_Constrained_MPC_Library
A compact Constrained Model Predictive Control (MPC) library with Active Set based Quadratic Programming (QP) solver for Teensy4/Arduino system (or any real time embedded system in general)
Lane-Change-CBF
Rule-Based Safety-Critical Control Design with Application to Autonomous Lane Change https://arxiv.org/abs/2103.12382
mpc_local_planner
A nonlinear MPC used to control an autonomous car.
Scenario-Forecasts-GAN
Research code
Simple-Comparison-between-Q-learning-and-MPC
course project: a simple implementation of Q learning and MPC
MPC-SensorlessAO
Model Predictive Control of Time-varying Aberrations for Sensorless Adaptive Optics - MATLAB Code
stochasticSCP
Sequential Convex Programming For Non-Linear Stochastic Optimal Control
Electric-guided-vehicle-routing-problem-
Based on the study of the vehicle routing problem and the ant colony algorithm, this program builds an electric guided VRP model considering the constraints of battery capacity, cargo loading, and node access. This model man-ages to formulate the operation rule using fast, low energy consumption and punctuality as indicators. Based on the mathematical model constructed, the model is solved by the ant colony algorithm, and the improved artificial potential field method is used to avoid obstacles, so as to arrange a reasonable driving route for the vehicles.
Dynamic-Programming
使用Matlab演示动态规划
Photovoltaic_Plant_Performance
This repo contains modeling of a photovoltaic plant to predict energy usage for grid management and identify sub-optimal equipment. It contains a multiple linear regression, non-linear regression, and the Facebook prophet model.
Gaussian-Process-based-Model-Predictive-Control
Project for the course "Statistical Learning and Stochastic Control" at University of Stuttgart
Paper-code-implementation
Thesis retrieval
Hybrid-Storage_Project
Project applying reinforcement learning to control an electric vehicle's energy storage system