151 Open source projects that are alternatives of or similar to Diffusion-Models-Seminar

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

Handwriting generation by RNN with TensorFlow, based on "Generating Sequences With Recurrent Neural Networks" by Alex Graves

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

A Tensorfflow implementation of Attend, Infer, Repeat

My pytorch implementation for GAN

Adversarial Generation of Continuous Images [CVPR 2021]

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

Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)

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

Pytorch implementation of pix2pix for various datasets.

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

Research Framework for easy and efficient training of GANs based on Pytorch

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

Code for reproducing results in "Generative Model with Dynamic Linear Flow"

Implementation of VLAE

Protein function prediction using a variational autoencoder

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

CSGNet: Neural Shape parser for Constructive Solid Geometry

A stable algorithm for GAN training

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

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

PyTorch implementation of " Synthesizing Audio with Generative Adversarial Networks"

Style transfer using deep convolutional neural nets

PyTorch Implementation of DCGAN trained on the CelebA dataset.

A basic and simple tool for code auto completion

Adversarially Learned Inference in Pytorch

A pytorch implementation of MINE(Mutual Information Neural Estimation)

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

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

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

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

Generative Adversarial Networks (GANs) resources sorted by citations

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

Speech Enhancement Generative Adversarial Network in TensorFlow

Multi-style Generative Network for Real-time Transfer

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

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

in progress

Anime Generation

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

Torch Implemention of ECCV'16 paper: Attribute2Image

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

[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.

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

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

[CVPR2020] Adversarial Latent Autoencoders

Inferring Concept Prerequisite Relations from Online Educational Resources (IAAI-19)

Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks

Single cell perturbation prediction

Face generator from sketches using cGAN (pix2pix) model

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

Conditional out-of-distribution prediction

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

Unsupervised learning and generative models in python/pytorch.

PyTorch Implementation of Generative Query Network

A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"

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

Tensorflow-based framework to ease training of generative models