229 Open source projects that are alternatives of or similar to vae-torch

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

Collection of generative models in Tensorflow

Protein function prediction using a variational autoencoder

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Torch Implemention of ECCV'16 paper: Attribute2Image

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

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A VAE written entirely in Numpy/Cupy

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Implementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction

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

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GrabNet: A Generative model to generate realistic 3D hands grasping unseen objects (ECCV2020)

Official repository for the ShapeFormer Project

Variational autoencoder for Lego minifig faces

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

Listing my favorite research papers 📝 from different fields as I read them.

Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition

Text Variational Autoencoder inspired by the paper 'Generating Sentences from a Continuous Space' Bowman et al. https://arxiv.org/abs/1511.06349

CSGNet for voxel based input

Python script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.

No description or website provided.

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.

My pytorch implementation for GAN

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)

Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'

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

Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution Prediction" (NeurIPS-21)

PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech

Shared Latent Space VAE's

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

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

Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

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)

Variants of Vision Transformer and its downstream tasks

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

No description or website provided.

Invariant representation learning from imaging and spectral data

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

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

Improving MMD-GAN training with repulsive loss function

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

A basic and simple tool for code auto completion

🤖🖌️ 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.

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"GAN 인 액션"(한빛미디어, 2020)의 코드 저장소입니다.

Pytorch implementation of CycleGAN.

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

Implementation of a convolutional Variational-Autoencoder model in pytorch.

Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST

No description or website provided.