epfl-lasa / ML_toolboxLinks
A Machine learning toolbox containing algorithms for non-linear dimensionality reduction, clustering, classification and regression along with examples and tutorials which accompany the Master level "Advanced Machine Learning" and "Machine Learning Programming" courses taught at EPFL by Prof. Aude Billard
☆102Updated 5 years ago
Alternatives and similar repositories for ML_toolbox
Users that are interested in ML_toolbox are comparing it to the libraries listed below
Sorting:
- Code for the Black-DROPS algorithm: "Black-Box Data-efficient Policy Search for Robotics", IROS 2017/ICRA 2018☆66Updated 4 years ago
- Stabilizable Nonlinear Dynamics Learning☆23Updated 6 years ago
- Learning stable nonlinear dynamics and attractors with linear parameter varying systems☆14Updated 8 years ago
- PILCO policy search framework (Matlab version)☆73Updated 7 years ago
- Implementation of the paper "Movement Primitives via Optimization" (Dragan et al., 2016). It includes both the adaptation of trajectories…☆22Updated 7 years ago
- Behavior Optimization and Learning for Robots☆67Updated 11 months ago
- Gaussian Mixture Regression☆199Updated 2 weeks ago
- Set of exercises accompanying the ICRA 2019 Tutorial on Dynamical System based Learning from Demonstration: https://epfl-lasa.github.io/T…☆66Updated 5 years ago
- This repository contains code and information for the computer exercises for the tutorial on Learning from Demonstration at ICRA 2016.☆45Updated 9 years ago
- An implementation of the Deep Deterministic Policy Gradient (DDPG) algorithm using Keras/Tensorflow with the robot simulated using ROS/Ga…☆61Updated 9 years ago
- Gaussian Mixture Model (GMM) and Gaussian Mixture Regression (GMR) implemented purely on numpy☆72Updated 6 years ago
- gILC - An Open Source Tool for Model Based Iterative Learning Control☆15Updated 6 years ago
- learning task trajectories using Probabilistic Movement Primitives☆13Updated 8 years ago
- Structured framework for learning mechanical systems in PyTorch☆27Updated 6 years ago
- Combined Learning from Demonstration and Motion Planning☆14Updated 6 years ago
- Input Inference for Control (i2c), a control-as-inference framework for optimal control☆25Updated 2 years ago
- Dynamic Movement Primitives in Python☆15Updated 2 years ago
- Toolbox including several techniques for estimation of Globally Asymptotically Stable Dynamical Systems from demonstrations. It focuses o…☆38Updated 3 years ago
- 3R Robot Inverse Kinematics with ANFIS, RBF and ANN using Matlab 2019b☆11Updated 5 years ago
- A python implementation for PILCO algorithm for a robotic arm - tested on mujoco robotics environment☆12Updated 6 years ago
- The course website for 'Optimal Control for Robotics', which I taught at Tufts University in Spring 2018☆55Updated 7 years ago
- Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.☆42Updated 3 years ago
- Implementation of Probabilistic Movement Primitives☆24Updated 7 years ago
- Learning Control Lyapunov Functions to Stabilize the Trajectories of Dynamical Systems.☆12Updated 3 years ago
- ☆11Updated 7 years ago
- Dynamic movement primitives (DMPs) are a method of trajectory control/planning from Stefan Schaal’s lab. Complex movements have long bee…☆53Updated last year
- An analysis of different intelligent control techniques (evolutionary alg., reinf. learn., neural networks) applied to robotic manipulato…☆54Updated 8 years ago
- ☆27Updated 4 years ago
- Great resources for learning optimal control☆18Updated 6 years ago
- A robot learning from demonstration framework that trains a recurrent neural network for autonomous task execution☆72Updated 9 years ago