Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering

Google Research

Latent space clustering in Generative Adversarial Network (GAN)

Torch code for our CVPR 2016 paper "Joint Unsupervised LEarning of Deep Representations and Image Clusters"

More details about the competition: https://www.aicrowd.com/challenges/seismic-facies-identification-challenge

Code accompanying the paper "Complex-valued neural networks for machine learning on non-stationary physical data".

Python code to create automated landscape typologies with Deep Convolutional Embedded Clustering.

A seismic facies analysis method based on deep learning

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Tensorflow implementation of Deep Embedded Clustering (DEC) for unsupervised learning

Keras implementation for Deep Embedding Clustering (DEC)

Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).

This repository applies Deep Learning techniques for depression detection in text, using LSTM, GRU, BiLSTM, BERT models, and a baseline FFNN. It also includes data visualizations, autoencoder seman…

Deep clustering for seismic signals (icequakes and earthquakes)

Unsupervised (Self-Supervised) Clustering of Seismic Signals Using Deep Convolutional Autoencoders

The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "A Machine Learning Benchmark for Facies Classification" (published in the SEG Interpretation Journ…

Deep-learning seismic facies on state-of-the-art CNN architectures

Deep Convolutional Neural Network for Automatic Fault Recognition from 3D Seismic Dataset

Deep Learning for Seismic Imaging and Interpretation

Methods and Implements of Deep Clustering