386 Open source projects that are alternatives of or similar to Factorvae

Implementation of a convolutional Variational-Autoencoder model in pytorch.

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Training and evaluating a variational autoencoder for pan-cancer gene expression data

Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI

Unsupervised Video Retargeting (e.g. face to face, flower to flower, clouds and winds, sunrise and sunset)

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Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

📄 A PyTorch implementation of Paragraph Vectors (doc2vec).

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

Code for unsupervised aspect extraction, using Keras and its Backends

Main component extraction for outlier detection

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

Unsupervised machine learning Principal Component Analysis (PCA) on the Dow Jones Industrial Average index and it's respective 30 stocks to construct an optimized diversified intelligent portfolio.

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DDC-Outlier: Preventing medication errors using unsupervised learning

Official Repository of "Contextual Graph Markov Model" (ICML 2018 - JMLR 2020)

Variational Autoencoder trained by Feature Perceputal Loss

No description or website provided.

SelFlow: Self-Supervised Learning of Optical Flow

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

pyge: Holiday Gift Exchange Picker

Implementing machine learning algorithms from scratch.

PyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.

A large-scale face dataset for face parsing, recognition, generation and editing.

UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

[CVPR 2017] Unsupervised deep learning using unlabelled videos on the web

t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go

This is the official PyTorch implementation of the CVPR 2020 paper "TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting".

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PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

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

Learning Depth from Monocular Videos using Direct Methods, CVPR 2018

A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

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The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

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The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

Unsupervised Representation Learning for Singing Voice Separation