261 Open source projects that are alternatives of or similar to DETReg

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

Python re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"

Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

[ICCVW 2021] Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement

Implementation of VLAE

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

[ICCV 2019] Recursive Cascaded Networks for Unsupervised Medical Image Registration

Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2021]

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

machine learning algorithms in Swift

[MICCAI'18] Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences

Transformer for Graph Classification (Pytorch and Tensorflow)

This is a master project of some experiments with Neural Networks. Every project here is runnable, visualized and explained clearly.

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

Awesome-Cross-Domain-Person-Re-identification

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.

Experiments on unsupervised point cloud reconstruction.

Contrastive Predictive Coding for Automatic Speaker Verification

TensorFlow implementation for "Guided Optical Flow Learning"

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

Unsupervised Learning to Market Behavior Forecasting Example

How to do Unsupervised Clustering with Keras

Unsupervised learning of action classes with continuous temporal embedding (CVPR'19)

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

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

Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering

A stable algorithm for GAN training

PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"

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

Linguistica 5: Unsupervised Learning of Linguistic Structure

An unsupervised Chinese word segmentation tool.

Deep Metric Transfer for Label Propagation with Limited Annotated Data

pyge: Holiday Gift Exchange Picker

Awesome Graph Self-Supervised Learning

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

TOD: GPU-accelerated Outlier Detection via Tensor Operations

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

[WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.

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

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

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

[ICCV2021] Learning to Track Objects from Unlabeled Videos

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

Code release for "Learning Shape Abstractions by Assembling Volumetric Primitives " (CVPR 2017)

Learning Depth from Monocular Videos using Direct Methods, CVPR 2018

Implementing Clustering Algorithms from scratch in MATLAB and Python

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

Neural Relation Understanding: neural cardinality estimators for tabular data

A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

Paddle Distributed Training Extended. 飞桨分布式训练扩展包

official implemntation for "Contrastive Learning with Stronger Augmentations"

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SALT (iccv2017) based Video Denoising Codes, Matlab implementation

Main component extraction for outlier detection

Image2Image Translation Research

Dual CNN Models for Unsupervised Monocular Depth Estimation

A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).

Caffe implementation for "Guided Optical Flow Learning"

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.