231 Open source projects that are alternatives of or similar to Image-Retrieval

PyTorch Blog Post On Image Similarity Search

Reference code for the paper: Deep White-Balance Editing, CVPR 2020 (Oral). Our method is a deep learning multi-task framework for white-balance editing.

PyTorch implementation of DEC (Deep Embedding Clustering)

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Focal Frequency Loss for Generative Models

A Variational Autoencoder (VAE) implemented in PyTorch

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

Content Based Image Retrieval Techniques (e.g. knn, svm using MatLab GUI)

Library of autoencoders for sequential data

Structural Deep Clustering Network

A Pytorch implementation for the ZeroSpeech 2019 challenge.

Implementation of the stacked denoising autoencoder in Tensorflow

A curated list of dedicated resources and applications

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

Theano implementation of Sequence-to-Sequence Autoencoder

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

Learning deep representations by mutual information estimation and maximization

Anomaly detection for streaming data using autoencoders

Search photos on Unsplash based on OpenAI's CLIP model, support search with joint image+text queries and attention visualization.

Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

中文的 tensorflow tutorial with jupyter notebooks

Tensorflow implementation : U-net and FCN with global convolution

Official repository of ICCV 2021 - Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

Keras implementation of Structural Deep Network Embedding, KDD 2016

Generative Adversarial Networks and Autoencoders for 3D Shapes

🌐 Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization

A simple Tensorflow based library for deep and/or denoising AutoEncoder.

Official PyTorch implementation of "Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning" (AAAI 2021)

Tensorflow implementation of conditional variational auto-encoder for MNIST

Representation learning for link prediction within social networks

Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"

Easy Reduced Basis method

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

Tensorflow implementation of Adversarial Autoencoders

Deep learning meets molecular dynamics.

Integrated Cell project implemented in pytorch

Convolutional Autoencoder for Loop Closure

Variational Recurrent Autoencoder for timeseries clustering in pytorch

Deep Learning sample programs using PyTorch in C++

Official PyTorch Implementation of Embedding Transfer with Label Relaxation for Improved Metric Learning, CVPR 2021

Autoencoders in Keras

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R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

Easy Landmark Image Recognition with TensorFlow Hub DELF Module

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

Image reconstruction done with untrained neural networks.

Using Deep Autoencoders for predictions of movie ratings.

Tensorflow 2.0 implementation of Adversarial Autoencoders

This repo includes the source code of the fully convolutional depth denoising model presented in https://arxiv.org/pdf/1909.01193.pdf (ICCV19)

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Using Autoencoders for classification as unsupervised machine learning algorithms with Deep Learning.

Visualization techniques for the latent space of a convolutional autoencoder in Keras

Tensorflow implementation of adversarial auto-encoder for MNIST

This is the official implementation for the paper 'AutoEncoder by Forest'

Fast Image Retrieval (FIRe) is an open source project to promote image retrieval research. It implements most of the major binary hashing methods to date, together with different popular backbone networks and public datasets.

(CVPRW 2022) Learning Co-segmentation by Segment Swapping for Retrieval and Discovery

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.