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This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube
Code for "Temporal Difference Learning for Model Predictive Control"
Exercises from the EPFL course Model Predictive Control.
Benchmarking Model Predictive Control and Reinforcement Learning Based Control for Legged Robot Locomotion
Model predictive control–based value estimation for efficient reinforcement learning. This repository contains the code for the implementation of model predictive control-based value estimation.
Real-time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms
A CSTR example is used to illustrate the application of LMPC using RNN models to maintain the closed-loop state within the stability region.
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…
<밑바닥부터 시작하는 딥러닝 4>
Trajectory optimization in MATLAB for MIT Cheetah
Probabilistic Contact State Estimation for Legged Robots in ROS
Python solutions to Fundamentals of Numerical Engineering Analysis 2nd edition
ROSMASTER R2 ROS Robot with Ackermann structure for Jetson NANO 4GB/Orin NX/Orin NANO/RaspberryPi 5
NMPC, WBC, state estimation, and sim2real framework for legged robots based on OCS2 and ros-controls
MATLAB and Simulink files for modeling and simulation of ROBOTIS OpenManipulator
Simulating a Stewart platform in Gazebo using a plugin to allow control of a closed loop manipulator with ROS.
Sample implementation of Neural Ordinary Differential Equations
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
A simple implementation of Principal Component Analysis (PCA) visualized using Fashion MNIST Dataset. Thanks to https://github.com/zalandoresearch/fashion-mnist for making the dataset.
encoder-decoder based anomaly detection method
An GRU (Gated Recurrent Unit) model that can predict stops to an extremely well accuracies. Relies on Memory retention ability of LSTM/GRU models.
This is a simple simulation of a Tokamak fusion reactor. It demonstrates how charged high-energy particles can be held in a magnetic bottle (the Tokamak), without touching its walls and melting them.