hongminwu Goto Github PK

seds

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

softqlearning

Reinforcement Learning with Deep Energy-Based Policies

sticky-hdphmm-demo

Sticky hierarchical Dirichlet process hidden Markov model for time series denoising

tecnets

Official code for "Task-Embedded Control Networks for Few-Shot Imitation Learning".

telemanom

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

ticc

time-series-classification-and-clustering

Time series classification and clustering code written in Python. Mostly based on the work of Dr. Eamonn Keogh at University of California Riverside

time_series_anomaly_detection_classification_clustering

the state-of-the-art repo for time_series_anomaly_detection_classification_clustering

tsclass

tsfresh

Automatic extraction of relevant features from time series:

uci-robotexecutionfaliuresdataset

UCI-RobotExecutionFaliuresDataSet for testing the anomaly classification

unsupervised_online_reaching_prediction

Code for unsupervised online learning (reaching prediction)

variational-lstm-autoencoder

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

variationalrecurrentautoencoder

VRAE Variational Recurrent Autoencoder

vde

Variational Autoencoder for Dimensionality Reduction of Time-Series

visual-pushing-grasping

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

word_cloud

A little word cloud generator in Python