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
Simple and clean implementation of Conditional Variational AutoEncoder (cVAE) using PyTorch
Learning cell communication from spatial graphs of cells
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents
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"
Official project of DiverseSampling (ACMMM2022 Paper)
Implementation of a Convolutional Variational Autoencoder in Flux.jl
👾 Malware Classification using Deep Learning and Cuckoo Sandbox
PyTorch implementation of the conditional variational autoencoder (CVAE) from CodeSLAM
Black-box Few-shot Knowledge Distillation
NYCU 深度學習與實驗 Deep Learning Spring 2024
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