88 Open source projects that are alternatives of or similar to CIKM2020-S3Rec

Official PyTorch implementation of Contrastive Learning of Musical Representations

Predictive Coding for Locally-Linear Control (ICML-2020)

List of Publications in Graph Contrastive Learning

Awesome Graph Self-Supervised Learning

Neural Relation Understanding: neural cardinality estimators for tabular data

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

Implementation of Barlow Twins paper

A Fast Knowledge Distillation Framework for Visual Recognition

code for our ECCV-2020 paper: Self-supervised Video Representation Learning by Pace Prediction

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

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

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

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

Exploring Simple Siamese Representation Learning

Mutual Information Neural Estimator implemented in Tensorflow

[WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.

Natural World Tasks

Tensorflow Implementation for paper "self-supervised generative adversarial networks"

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

A configurable, tunable, and reproducible library for deep matching models

Algorithms for causal inference and the detection of dynamical coupling from time series, and for approximation of the transfer operator and invariant measures.

A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

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

official implemntation for "Contrastive Learning with Stronger Augmentations"

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

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

[CVPR 2020] Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch)

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

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

FisheyeDistanceNet

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

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

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

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

Code for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors".

Code to train the SimSiam model on cifar10 using PyTorch

supervised and semi-supervised image classification with self-supervision (Keras)

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

PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482

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

TKDE 22. CCCL: Contrastive Cascade Graph Learning.

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

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

EsViT: Efficient self-supervised Vision Transformers

S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)

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

LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training

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

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

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

Object-aware Contrastive Learning for Debiased Scene Representation (NeurIPS 2021)

Variants of Vision Transformer and its downstream tasks

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

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.

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

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

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

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

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

Generalized Deep Metric Learning.