293 Open source projects that are alternatives of or similar to RG-Flow

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

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

Official repository for the ShapeFormer Project

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

Implementation of VLAE

Code for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18

Automatic feature engineering using Generative Adversarial Networks using TensorFlow.

Proto-RL: Reinforcement Learning with Prototypical Representations

Implementation of Information Dropout

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions

Simplified version of "State Representation Learning for Control: An Overview" bibliography

Poincaré Embedding

PixelVAE with or without regularization

Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

TriangleGAN, ACM MM 2019.

Guided Conditional Wasserstein GAN for De Novo Protein Design

Learning Video Representations from Correspondence Proposals (CVPR 2019 Oral)

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

A combination of VAE's and Diffusion Models for efficient, controllable and high-fidelity generation from low-dimensional latents

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

A convenient MIDI / symbolic music tokenizer for Deep Learning networks, with multiple strategies 🎶

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

Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"

Variational autoencoder for anomaly detection (in PyTorch).

Dictionary Learning for image processing

Public release of data and code for materials synthesis generation

A comprehensive list of awesome contrastive self-supervised learning papers.

CSGNet for voxel based input

Hierarchical fast and high-fidelity audio generation

"GAN 인 액션"(한빛미디어, 2020)의 코드 저장소입니다.

A model for learning distributed representations of MLB players.

Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

ExCon: Explanation-driven Supervised Contrastive Learning

Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)

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

[ICLR 2019] Learning Factorized Multimodal Representations

Fit models to data from unmarked animals using Stan. Uses a similar interface to the R package 'unmarked', while providing the advantages of Bayesian inference and allowing estimation of random effects.

Source code of the paper titled *Improving Video Captioning with Temporal Composition of a Visual-Syntactic Embedding*

Official code for "Mean Shift for Self-Supervised Learning"

Whitening for Self-Supervised Representation Learning | Official repository

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)

Pytorch implementation of CycleGAN.

✨ A Python package for sparse representations and dictionary learning, including matching pursuit, K-SVD and applications.

Unsupervised Representation Learning for Singing Voice Separation

Profiling and Deanonymizing Ethereum Users

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

PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.

[KDD 2020] Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding

Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record

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

Reading list for research topics in multimodal machine learning

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.

Hierarchical Attention Networks for Document Classification in Keras

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

No description or website provided.

Regularized K-SVD Algorithm