205 Open source projects that are alternatives of or similar to adaptive-f-divergence

DGMs for NLP. A roadmap.

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Implementation of VLAE

PixelVAE with or without regularization

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

PyTorch implementation of normalizing flow models

Official Repository for the paper Style Transfer for Co-Speech Gesture Animation: A Multi-Speaker Conditional-Mixture Approach published in ECCV 2020 (https://arxiv.org/abs/2007.12553)

Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Codes for CyGen, the novel generative modeling framework proposed in "On the Generative Utility of Cyclic Conditionals" (NeurIPS-21)

Video Frame Synthesis using Deep Voxel Flow (ICCV 2017 Oral)

Conditional out-of-distribution prediction

Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.

Building Virtual Reality Worlds using Three.js

Tensorflow-based framework to ease training of generative models

Stacked Generative Adversarial Networks

PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

Generator loss to reduce mode-collapse and to improve the generated samples quality.

A stable algorithm for GAN training

Demultiplexing pooled scRNA-seq data with or without genotype reference

Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling

Implementation of "MelNet: A Generative Model for Audio in the Frequency Domain"

PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)

🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

The SimNets Architecture's Implementation in Caffe

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

Code accompanying ISMIR'19 paper titled "Learning to Traverse Latent Spaces for Musical Score Inpaintning"

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Using neural network to build expressive hierarchical distribution; A variational method to accurately estimate posterior uncertainty; A fast and general method for Bayesian inference. (ICML 2018)

Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder

Neural Relation Understanding: neural cardinality estimators for tabular data

PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"

Generative Latent Implicit Conditional Optimization when Learning from Small Sample ICPR 20'

Bayesian mixture models for estimating and clustering cancer cell fractions

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

My pytorch implementation for GAN

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Joint collaboration between the Marks lab and the OATML group.

Tensorflow implementation of Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions (CVPR 2019)

Improving MMD-GAN training with repulsive loss function

Style transfer using deep convolutional neural nets

Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs

A pytorch implementation of MINE(Mutual Information Neural Estimation)

A basic and simple tool for code auto completion

Tensorflow implementation of CVPR 2018 paper "Disentangled Person Image Generation"

Regression with Summary Statistics.

Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt

Multi-style Generative Network for Real-time Transfer

Differentially private learning to create fake, synthetic datasets with enhanced privacy guarantees

Anime Generation

The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.

Torch Implemention of ECCV'16 paper: Attribute2Image

Semantic Image Inpainting

Abstractive opinion summarization system (SelSum) and the largest dataset of Amazon product summaries (AmaSum). EMNLP 2021 conference paper.

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"