HongminWu

BP-AR-HMM

This repository is used to discover and model dynamicl behaviors which are shared among several related time series.

HDPHMM_HDPSLDS

HDPHMM_HDPSLDS

HIRO_SA_DATA

This repo for collecting the data of HIRO robot snap assembly, which including the REAL/SIM robot in SUCCESS/FAILURE task execution.

HMM

This repo including the old version of our introspective system. its aim for testing the algorithms.

Motion-Planning-Kit

The source file was create by http://robotics.stanford.edu/~latombe/

Paper_Notes

This will contain my notes for research papers (mostly deep IL and RL).

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

SEDS

Stable Estimation of Dynamical System for Skill Learning and Realtime Collision Avoidance

time_series_anomaly_detection_classification_clustering

the state-of-the-art repo for time_series_anomaly_detection_classification_clustering

UCI-RobotExecutionFaliuresDataSet

UCI-RobotExecutionFaliuresDataSet for testing the anomaly classification

HongminWu/adaptive_polishing

HongminWu/awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

HongminWu/baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

HongminWu/betaVAE_time_series

use the betaVAE model for time series applications

HongminWu/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

HongminWu/DeepADoTS

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

HongminWu/dmpbbo

C++ library for Function Approximation, Dynamical Movement Primitives, and Black-Box Optimization

HongminWu/dmpling

Dynamic Movement Primitives in Python

HongminWu/dynamic_obstacle_avoidance_cpp

C++ code for the obstacle avoidance

HongminWu/emacs.d

for saving the configuration of emacs for python developing and .bashrc file

HongminWu/GaBOtorch

This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.

HongminWu/GMRbasedGP

This repository contains the code for GMR-based Gaussian process.

HongminWu/GPNet

HongminWu/latent-learning-robot

Deep autoencoder for robotic task learning in latent space

HongminWu/lyapunovearner

Learning Control Lyapunov Functions in Python

HongminWu/metaworld

An open source robotics benchmark for meta- and multi-task reinforcement learning

HongminWu/MSCRED

Multi-Scale Convolutional Recurrent Encoder-Decoder

HongminWu/MSCRED-1

tensorflow implement the paper A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data

HongminWu/multimodal_prediction_for_anomaly_prevention

multimodal_prediction_for_anomaly_prevention

HongminWu/multimodal_representation

HongminWu/neural-dynamic-policies

HongminWu/pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

HongminWu/pyrobolearn

PyRoboLearn: a Python framework for Robot Learning

HongminWu/RC-NMP

Reward Conditioned Neural Movement Primitives

HongminWu/Recovery_reimplement

Reimplement Prof.Kroemer's recovery paper

HongminWu/rlpyt

Reinforcement Learning in PyTorch

HongminWu/robosuite

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

HongminWu/TICC

HongminWu/Variational-Lstm-Autoencoder

Lstm variational auto-encoder API for time series anomaly detection and features extraction

HongminWu/VariationalRecurrentAutoEncoder

VRAE Variational Recurrent Autoencoder