328 Open source projects that are alternatives of or similar to mmselfsup

Exploring Simple Siamese Representation Learning

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

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

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

official implemntation for "Contrastive Learning with Stronger Augmentations"

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

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

Neural Relation Understanding: neural cardinality estimators for tabular data

Awesome Graph Self-Supervised Learning

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

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

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

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)

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

Repository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)

Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"

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

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

Deep Metric Transfer for Label Propagation with Limited Annotated Data

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

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

TOD: GPU-accelerated Outlier Detection via Tensor Operations

Experiments on unsupervised point cloud reconstruction.

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

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

TKDE 22. CCCL: Contrastive Cascade Graph Learning.

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).

Dual CNN Models for Unsupervised Monocular Depth Estimation

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

Official PyTorch implementation of Contrastive Learning of Musical Representations

Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".

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

Code release for "Learning Shape Abstractions by Assembling Volumetric Primitives " (CVPR 2017)

Unsupervised Learning to Market Behavior Forecasting Example

Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

TensorFlow implementation for "Guided Optical Flow Learning"

Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2021]

Image2Image Translation Research

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

Implementation of Barlow Twins paper

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

machine learning algorithms in Swift

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

Implementing Clustering Algorithms from scratch in MATLAB and Python

Main component extraction for outlier detection

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

Unsupervised learning of action classes with continuous temporal embedding (CVPR'19)

Unsupervised machine learning Principal Component Analysis (PCA) on the Dow Jones Industrial Average index and it's respective 30 stocks to construct an optimized diversified intelligent portfolio.

Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering

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

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

Tool for providing sample data for AEM applications in a simple and flexible way. Stubbing server on AEM, no separate needed.

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

A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).

SALT (iccv2017) based Video Denoising Codes, Matlab implementation

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

Official Repository of "Contextual Graph Markov Model" (ICML 2018 - JMLR 2020)

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