Collection of generative models in Tensorflow

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

Tensorflow implementation of conditional variational auto-encoder for MNIST

Learning cell communication from spatial graphs of cells

DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents

pytorch implementation Variational Autoencoder and Conditional Variational Autoencoder

Simple and clean implementation of Conditional Variational AutoEncoder (CVAE) using PyTorch

Conditional out-of-distribution prediction

Learning informed sampling distributions and information gains for efficient exploration planning.

The official implementation of "Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting" presented in ECCV2022.

Code for our paper "VaPar Synth - A Variational Parametric Model for Audio Synthesis"

Official code for AAAI 2023 paper "Multi-stream Representation Learning for Pedestrian Trajectory Prediction"

👾 Malware Classification using Deep Learning and Cuckoo Sandbox

Official project of DiverseSampling (ACMMM2022 Paper)

Implementation of a Convolutional Variational Autoencoder in Flux.jl

PyTorch implementation of the conditional variational autoencoder (CVAE) from CodeSLAM

Code for Generalization Guarantees for (Multi-Modal) Imitation Learning

Black-box Few-shot Knowledge Distillation