Zijing5

rdpwrap.ini

RDPWrap.ini for RDP Wrapper Library by Stas'M

SamCon

Pybullet implementation of SamCon (SIGGRAPH 2010 paper "Sampling-based Contact-rich Motion Control").

CLoT

CVPR'24, Official Codebase of our Paper: "Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation".

HumanML3D

HumanML3D: A large and diverse 3d human motion-language dataset.

artigrasp

motion-diffusion-model

The official PyTorch implementation of the paper "Human Motion Diffusion Model"

Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

SCADA_wind_turbines

EDA for the SCADA wind turbines data

wt-fdd

Wind Turbine Fault Detection. Newer version @ https://github.com/lkev/wtphm

Wind_turbine_failure_prediction

Machine learning applied to wind turbines incipient fault detection.

Anomaly-Detection

Wind Turbine Anomaly Detection using IoT

Wind-Turbine-Anomaly-Detection-VRAE

Code for paper "Anomaly Detection of Wind Turbine Time Series using Variational Recurrent Autoencoders."

hydro-power-database

JRC Hydro-power plants database

wind-power-forecasting-challenge

Wind Power forecasting for the day-ahead energy market - Data Challenge

Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

Tools to Design or Visualize Architecture of Neural Network

Anomaly-Detection

Implementing autoencoders using tensorflow for feature extraction and anomaly detection

Autoencoder-and-Deep-Autoencoder-for-feature-extraction-and-anomaly-detection

breast-cancer-sub-types

A novel self-supervised feature extraction method using omics data is proposed which improves classification in most of the classifiers.

SVM-Convolutional_Autoencoder

A convolutional autoencoder for feature extraction, with an SVM for image classification.

AEspeech

Feature extraction from speech signals based on representation learning strategies using pre-trained autoencoders

AutoEncoder_Seizure_EEG_Generation

An unofficial implementation of the paper "A comprehensive comparison of handcrafted features and convolutionalautoencoders for epileptic seizures detection in EEG signals"

TimeStretching

Pytorch implementation of Time Stretching in Music using an Autoencoder Network

Deep-Music-Autoencoder

The repo involves a Deep Learning method, Stacked Denoising Autoencoder. The repo exploits "paracel", which is a new parallel computing framework

cnn-vrnn-polyphonic-music-generation

Variational recurrent autoencoder for polyphonic music generation.

Autoencoder-image-similarity

Convolutional-Autoencoder-Music-Similarity

Trains a convolutional autoencoder on Mel Spectrogram images for a list of songs, then displays the encoded latent features using t-SNE.

Autoencoders-using-Pytorch-Medical-Imaging

Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining

ImageDenoisingAutoencdoer

Denoising images with a Deep Convolutional Autoencoder - Implemented in Keras

ConvLSTM

Spatio-temporal video autoencoder with convolutional LSTMs

MoCo-CXR

MoCo-based unsupervised training for Chest X-Ray Interpretation