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

[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

official implemntation for "Contrastive Learning with Stronger Augmentations"

OpenMMLab optical flow toolbox and benchmark

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

Unsupervised learning of atomic scale dynamics from molecular dynamics.

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

Main component extraction for outlier detection

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

Assessing Source Code Semantic Similarity with Unsupervised Learning

An unsupervised Chinese word segmentation tool.

IVA: Independent Vector Analysis implementation

pyge: Holiday Gift Exchange Picker

Image based obstacle avoidance using optical flow

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

Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)

Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)

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.

BERT, LDA, and TFIDF based keyword extraction in Python

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

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

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

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

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

A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overlapping structure, and includes visualizations

Learning Depth from Monocular Videos using Direct Methods, CVPR 2018

Cool Vision projects

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

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

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

The Partitioning Around Medoids (PAM) implementation of the K-Medoids algorithm in Python [Unmaintained]

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

Implementation of Grounding of Textual Phrases in Images by Reconstruction in Tensorflow

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(ICCV 2021) Code for "Unsupervised Layered Image Decomposition into Object Prototypes" paper

A stable algorithm for GAN training

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

Deep-learning approaches to object recognition from 3D data

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Unsupervised Controllable Text Generation (Applied to text Formalization)

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

(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

Find nodes in hierarchical clustering that are statistically significant

Code release for "Canonical Surface Mapping via Geometric Cycle Consistency"

Learning Video Object Segmentation from Unlabeled Videos (CVPR2020)

Latent space autoregression for novelty detection.

Chainer implementation of deep-INFOMAX

A curated list of pretrained sentence and word embedding models

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

Model for learning document embeddings along with their uncertainties

Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery

A curated list of community detection research papers with implementations.

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

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

Example code for the ADNS-3080 optical flow sensor

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

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