HongminWu

HongminWu

User data from Github https://github.com/HongminWu

Company:Guangdong University of Technology

Location:Guangdong University of Technology, China

GitHub:@HongminWu

HongminWu's repositories

dmpling

Dynamic Movement Primitives in Python

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GMRbasedGP

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

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latent-learning-robot

Deep autoencoder for robotic task learning in latent space

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RC-NMP

Reward Conditioned Neural Movement Primitives

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robosuite

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

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awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

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betaVAE_time_series

use the betaVAE model for time series applications

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Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

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DeepADoTS

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

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dmpbbo

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

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dynamic_obstacle_avoidance_cpp

C++ code for the obstacle avoidance

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emacs.d

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

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GaBOtorch

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

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lyapunovearner

Learning Control Lyapunov Functions in Python

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metaworld

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

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MSCRED

Multi-Scale Convolutional Recurrent Encoder-Decoder

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MSCRED-1

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

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multimodal_prediction_for_anomaly_prevention

multimodal_prediction_for_anomaly_prevention

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pyprobml

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

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pyrobolearn

PyRoboLearn: a Python framework for Robot Learning

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Recovery_reimplement

Reimplement Prof.Kroemer's recovery paper

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rlpyt

Reinforcement Learning in PyTorch

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Variational-Lstm-Autoencoder

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

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VariationalRecurrentAutoEncoder

VRAE Variational Recurrent Autoencoder

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