82 Open source projects that are alternatives of or similar to Co-mining

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

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

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

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

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

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

Exploring Simple Siamese Representation Learning

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

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

Code to train the SimSiam model on cifar10 using PyTorch

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

Neural Relation Understanding: neural cardinality estimators for tabular data

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

Generalized Deep Metric Learning.

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

Awesome Graph Self-Supervised Learning

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.

Official PyTorch implementation of Contrastive Learning of Musical Representations

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

Implementation of Barlow Twins paper

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

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

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

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).

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

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

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

FisheyeDistanceNet

Variants of Vision Transformer and its downstream tasks

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

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

A Fast Knowledge Distillation Framework for Visual Recognition

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

A library for graph deep learning research

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

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

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

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

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

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

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

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

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

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

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

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

TKDE 22. CCCL: Contrastive Cascade Graph Learning.

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

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

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

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

Natural World Tasks

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"

List of Publications in Graph Contrastive Learning

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

Self-supervised Spatiotemporal Learning via Video Clip Order Prediction

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

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

EsViT: Efficient self-supervised Vision Transformers