213 Open source projects that are alternatives of or similar to trVAE

Improving MMD-GAN training with repulsive loss function

Collection of generative models in Tensorflow

Network-to-Network Translation with Conditional Invertible Neural Networks

DGMs for NLP. A roadmap.

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

This repository contains the source code for the paper First Order Motion Model for Image Animation

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

Periodic Spatial Generative Adversarial Networks

Software for exploration of gene expression data from single-cell RNA sequencing.

PyTorch implementation of DRAW: A Recurrent Neural Network For Image Generation trained on Devanagari dataset.

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

Variational Autoencoder trained by Feature Perceputal Loss

Semantic Image Inpainting

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

Generative 3D Part Assembly via Dynamic Graph Learning, NeurIPS 2020

Fast visualization tool for large-scale and high dimensional single-cell data

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

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

Spectral Normalization for Keras Dense and Convolution Layers

Neural Relation Understanding: neural cardinality estimators for tabular data

Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets

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

PyTorch implementation of the paper "Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval", CVPR 2019.

R package to do the Ligand Receptor Analysis Visualization

Conditional GAN for Anime face generation.

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

CPU/GPU/TPU implementation of the Fréchet Inception Distance

Anime Generation

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

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

A deep learning-based tool for alignment and integration of single cell genomic data across multiple datasets, species, conditions, batches

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

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

Single cell perturbation prediction

Building Virtual Reality Worlds using Three.js

PyTorch Implementation of Generative Query Network

Implementation of VLAE

Unsupervised learning and generative models in python/pytorch.

A comprehensive tool for processing, analyzing and visulizing single cell chromatin accessibility sequencing data

Deep Markov Models

A stable algorithm for GAN training

Pytorch implementation of Generated Image Quality Assessment

A tool that allows to get UMI counts from a single cell protein assay

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

Style transfer using deep convolutional neural nets

A Tensorfflow implementation of Attend, Infer, Repeat

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

Adversarial Generation of Continuous Images [CVPR 2021]

A pytorch implementation of MINE(Mutual Information Neural Estimation)

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

Next-Gen Sequencing tools from the Horvath Lab

Pytorch implementation of pix2pix for various datasets.

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

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

Clone identification from single-cell data

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

Multi-style Generative Network for Real-time Transfer

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

Single-cell copy number calling and event history reconstruction.

Simulating single-cell data using gene regulatory networks 📠