324 Open source projects that are alternatives of or similar to Back2future.pytorch

Unsupervised Learning for Image Registration

[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"

TensorFlow implementation for "Guided Optical Flow Learning"

Caffe implementation for "Guided Optical Flow Learning"

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

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

PHP-ML - Machine Learning library for PHP

Code for unsupervised aspect extraction, using Keras and its Backends

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

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

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

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

Unsupervised learning of atomic scale dynamics from molecular dynamics.

IVA: Independent Vector Analysis implementation

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

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

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

Python Framework for Extractive Text Summarization

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

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

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

Optical Flow estimation in pure Python

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

Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

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

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

Example code for the ADNS-3080 optical flow sensor

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

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

An implementation of several tracking algorithms based on Lucas Kanade algorithms

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

TensorFlow Implementation of Unsupervised Cross-Domain Image Generation

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

Codebase for the Summary Loop paper at ACL2020

code for unsupervised learning Neural Hidden Markov Models paper

Self-Supervised Learning Toolbox and Benchmark

Python implementation of bag-of-concepts

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

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

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)

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

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

🎮 [IJCAI'20][ICLR'19 Workshop] Flow-based Intrinsic Curiosity Module. Playing SuperMario with RL agent and FICM!

Learning Video Object Segmentation from Unlabeled Videos (CVPR2020)

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

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

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

TensorFlow implementation of Deep Graph Infomax

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

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