126 Open source projects that are alternatives of or similar to DIG

EsViT: Efficient self-supervised Vision Transformers

[ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.

Natural World Tasks

The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.

code for AAAI21 paper "Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion“

A curated list of awesome graph & self-supervised-learning-based recommendation.

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

Awesome Graph Self-Supervised Learning

ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

Code to train the SimSiam model on cifar10 using PyTorch

Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".

A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.

[NeurIPS 2021 Spotlight] Aligning Pretraining for Detection via Object-Level Contrastive Learning

CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)

code for CVPR-2019 paper: Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics

Library containing attribution and interpretation methods for deep nets.

Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

PyTorch code for Reasoning Visual Dialogs with Structural and Partial Observations

The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".

[CVPR21] Implementation of our work "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"

Exploring Simple Siamese Representation Learning

STAGIN: Spatio-Temporal Attention Graph Isomorphism Network

(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

Official PyTorch implementation of Contrastive Learning of Musical Representations

FisheyeDistanceNet

A paper list of research about social knowledge graph

Explaining the output of machine learning models with more accurately estimated Shapley values

hypergraph representation learning, graph neural network

Create interactive dashboards for your Convolutional Neural Networks with a single line of code!

List of Publications in Graph Contrastive Learning

PASSL包含 SimCLR，MoCo v1/v2，BYOL，CLIP，PixPro，BEiT，MAE等图像自监督算法以及 Vision Transformer，DEiT，Swin Transformer，CvT，T2T-ViT，MLP-Mixer，XCiT，ConvNeXt，PVTv2 等基础视觉算法

A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners

A Fast Knowledge Distillation Framework for Visual Recognition

Variants of Vision Transformer and its downstream tasks

AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries

PyTorch implementation of the InfoNCE loss for self-supervised learning.

Code for our ACML and INTERSPEECH papers: "Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox".

Generalized Deep Metric Learning.

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

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

The code for our IEEE ACCESS (2020) paper Multimodal Emotion Recognition with Transformer-Based Self Supervised Feature Fusion.

Self6D++: Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021.

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

🔧 Python Random Graph Generator

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

Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch

Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"

A library for graph analysis written Julia.

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.

An optimized graphs package for the Julia programming language

PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"

Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"

Official code of "Towards Multi-Grained Explainability for Graph Neural Networks" (2021 NeurIPS)

[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

Pytorch Lightning Implementation of SC-Depth (V1, V2...) for Unsupervised Monocular Depth Estimation.

Official code for "Mean Shift for Self-Supervised Learning"