402 Open source projects that are alternatives of or similar to Paysage

Implementation of VLAE

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

A stable algorithm for GAN training

Neural Relation Understanding: neural cardinality estimators for tabular data

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

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

Conditional GAN for Anime face generation.

Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)

Pytorch implementation of Generated Image Quality Assessment

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

Composable GAN framework with api and user interface

Pytorch implementation of pix2pix for various datasets.

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

DDFlow: Learning Optical Flow with Unlabeled Data Distillation

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

A Tensorfflow implementation of Attend, Infer, Repeat

A deep generative model library in Theano and Lasagne

Deep Markov Models

Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet

PyTorch Blog Post On Image Similarity Search

Rank-based Unsupervised Keyword Extraction via Metavertex Aggregation

This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

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

PHP-ML - Machine Learning library for PHP

Variational Autoencoder trained by Feature Perceputal Loss

Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.

📜 Self-Supervised Learning from Images: Up-to-date reading list.

Spectral Normalization for Keras Dense and Convolution Layers

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

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

Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021)

speech to text with self-supervised learning based on wav2vec 2.0 framework

CPU/GPU/TPU implementation of the Fréchet Inception Distance

Implementation of Grounding of Textual Phrases in Images by Reconstruction in Tensorflow

code for unsupervised learning Neural Hidden Markov Models paper

Explore high-dimensional datasets and how your algo handles specific regions.

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

Self-Supervised Learning Toolbox and Benchmark

TensorFlow implementation of Deep Graph Infomax

Periodic Spatial Generative Adversarial Networks

Protein function prediction using a variational autoencoder

Learning Video Object Segmentation from Unlabeled Videos (CVPR2020)

CSGNet: Neural Shape parser for Constructive Solid Geometry

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

The notes for Math, Machine Learning, Deep Learning and Research papers.

Adversarial Generation of Continuous Images [CVPR 2021]

Unsupervised Learning for Image Registration

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

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

Novel molecules from a reference shape!

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

Python Framework for Extractive Text Summarization

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)