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

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

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

SelFlow: Self-Supervised Learning of Optical Flow

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

Unsupervised Learning for Image Registration

TensorFlow implementation for "Guided Optical Flow Learning"

Caffe implementation for "Guided Optical Flow Learning"

Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM.

DDFlow: Learning Optical Flow with Unlabeled Data Distillation

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

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

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

The py version of toflow → https://github.com/anchen1011/toflow

Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"

Self-Supervised Learning Toolbox and Benchmark

PyTorch Blog Post On Image Similarity Search

The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

Unsupervised learning and generative models in python/pytorch.

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

code for unsupervised learning Neural Hidden Markov Models paper

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

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

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

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

Learning Video Object Segmentation from Unlabeled Videos (CVPR2020)

pytorch implementation of "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume"

Dockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

Code for unsupervised aspect extraction, using Keras and its Backends

Tensorflow implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)

📜 Self-Supervised Learning from Images: Up-to-date reading list.

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021)

speech to text with self-supervised learning based on wav2vec 2.0 framework

Repository for different network models related to flow/disparity (ECCV 18)

An extensive machine learning library, made from scratch (Python).

ROS Error-State Kalman Filter based on PX4/ecl. Performs GPS/Magnetometer/Vision Pose/Optical Flow/RangeFinder fusion with IMU

Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)

Dense Matching Benchmark

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

TensorFlow implementation of Deep Graph Infomax

Composable GAN framework with api and user interface

Explore high-dimensional datasets and how your algo handles specific regions.

Rank-based Unsupervised Keyword Extraction via Metavertex Aggregation

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

Convolutional Autoencoder for Loop Closure

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"

PHP-ML - Machine Learning library for PHP

Python Framework for Extractive Text Summarization

Optical Flow estimation in pure Python

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

Volumetric Correspondence Networks for Optical Flow, NeurIPS 2019.