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

CorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded by other versions below.

Codebase for the Summary Loop paper at ACL2020

Self-Supervised depth kalilia

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

Repository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)

Example code for the ADNS-3080 optical flow sensor

(NeurIPS 2020 oral) Code for "Deep Transformation-Invariant Clustering" paper

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

Python implementation of bag-of-concepts

TCyb 2018: Graph learning for multiview clustering

[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

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

Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

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

The main abnormal behaviors that this project can detect are: Violence, covering camera, Choking, lying down, Running, Motion in restricted areas. It provides much flexibility by allowing users to choose the abnormal behaviors they want to be detected and keeps track of every abnormal event to be reviewed. We used three methods to detect abnorma…

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)

Experiments for understanding disentanglement in VAE latent representations

Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).

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

Ladder Variational Autoencoders (LVAE) in PyTorch

Keras implementation of Representation Learning with Contrastive Predictive Coding

High performance unsupervised text tokenization for Ruby

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

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

SPEAR: Programmatically label and build training data quickly.

Google Colab notebook for running Nvidia flownet2-pytorch

Optical Flow estimation in pure Python

BriefMatch real-time GPU optical flow

PyTorch implementation of the CortexNet predictive model

Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".

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

[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation

📄 A PyTorch implementation of Paragraph Vectors (doc2vec).

A comprehensive list of awesome contrastive self-supervised learning papers.

An implementation of several tracking algorithms based on Lucas Kanade algorithms

PyTorch implementation of the NIPS 2017 paper - Unsupervised Learning of Disentangled Representations from Video

Pytorch implementation of β-VAE

No description or website provided.

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

Tensorflow Implementation on Paper [BMVC2018]Deep Association Learning for Unsupervised Video Person Re-identification

Implementing machine learning algorithms from scratch.

Implementation of linear CorEx and temporal CorEx.

(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

[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。

A simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python

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

ADENINE: A Data ExploratioN PipelINE

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

Programming Assignments and Lectures for Andrew Ng's "Machine Learning" Coursera course

[AAAI2021] Unsupervised Opinion Summarization with Content Planning

TensorFlow Implementation of Unsupervised Cross-Domain Image Generation

Fast, accurate and easy to run dense optical flow with python wrapper

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

Multi-stream CNN architectures for action detection with actor-centric filtering

[ICML 2021] Break-It-Fix-It: Unsupervised Learning for Program Repair

an open-source implementation of sequence-to-sequence based speech processing engine