paidamoyo

adversarial_time_to_event

ICML 2018: "Adversarial Time-to-Event Modeling"

survival_cluster_analysis

ACM CHIL 2020: "Survival Cluster Analysis"

counterfactual_survival_analysis

ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"

DEAP_classification

Classify EEG Signals

ais

Annealed Importance Sampling (AIS) for generative models.

bayesian_nonparametric

Experiment with Bayesian Non Parametc Models

calibration_uncertainty_t2e

IEEE TNNLS 2020: "Calibration and Uncertainty in Neural Time-to-Event Modeling"

learning_to_hash

Learning to Hash

tensorflow_deep_learning

Project for experimenting with tensor flow

structured_latent_ODEs

UAI 2022: "Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations"

AdversarialVariationalBayes

This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

boltzmann-machines

Boltzmann Machines in TensorFlow with examples

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

DCGAN-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

DialogWAE

Source Code for DialogWAE: Multimodal Response Generation with Conditional Wasserstein Autoencoder (https://arxiv.org/abs/1805.12352)

dqn

Implementation of standard DQN

eval_gen

Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"

GloVe

GloVe model for distributed word representation

importance-sampling

Code for experiments regarding importance sampling for training neural networks

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

irgan

IRGAN SIGIR paper experimental code

normalizing-flows-tutorial

Tutorial on normalizing flows.

pytorch-examples

Simple examples to introduce PyTorch

RankGAN

Implementation of Adversarial Ranking for Language Generation [ArxiV 1705.11001]

Stochastic_Generative_Hashing

SWEM

The Tensorflow code for this ACL 2018 paper: "Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms"

textCNN_public

Triangle-GAN

implementation for NIPS paper Triangle Generative Adversarial Networks

VariationalDeepSemanticHashing

The implementation of the models and experiments of Variational Deep Semantic Hashing paper (SIGIR 2017)

wgan

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)