324 Open source projects that are alternatives of or similar to Voxelmorph

Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM.

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

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

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

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Caffe implementation for "Guided Optical Flow Learning"

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

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TensorFlow implementation for "Guided Optical Flow Learning"

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

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IVA: Independent Vector Analysis implementation

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

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Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

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

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

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[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

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Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

Codebase for the Summary Loop paper at ACL2020

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)

Example code for the ADNS-3080 optical flow sensor

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Python implementation of bag-of-concepts

[IEEE TIP'2021] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

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

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

Experiments for understanding disentanglement in VAE latent representations

📈 Regression and Classification with UC Davis student quiz data and exam data

Keras implementation of Representation Learning with Contrastive Predictive Coding

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

Optical Flow estimation in pure Python

Video++, a C++14 high performance video and image processing library.

PyTorch implementation of the CortexNet predictive model

[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

📄 A PyTorch implementation of Paragraph Vectors (doc2vec).

An implementation of several tracking algorithms based on Lucas Kanade algorithms

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Pytorch implementation of β-VAE

Algorithms for outlier and adversarial instance detection, concept drift and metrics.

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

TOFlow: Video Enhancement with Task-Oriented Flow

[UNMAINTAINED] 非监督特征学习与深度学习中文教程，该版本翻译自新版 UFLDL Tutorial 。建议新人们去学习斯坦福的CS231n课程，该门课程在网易云课堂上也有一个配有中文字幕的版本。

SCAN: Learning to Classify Images without Labels (ECCV 2020), incl. SimCLR.

Implementing machine learning algorithms from scratch.

High-performance multiple object tracking based on YOLO, Deep SORT, and optical flow