#Self-supervised-learning
Showing 60 of 95 repositories tagged #self-supervised-learning, ranked by stars
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-่ฟ็งปๅญฆไน
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
OpenMMLab Pre-training Toolbox and Benchmark
A python library for self-supervised learning on images.
The official repo for [NeurIPS'22] "ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation" and [TPAMI'23] "ViTPose++: Vision Transformer for Generic Body Pose Estimation"
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
A library for graph deep learning research
An all-in-one toolkit for computer vision
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
[ICLR'23 Spotlight๐ฅ] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
Build computer vision models in a fraction of the time and with less data.
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
[IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning,ย statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy includingย diffusion, perfusion and structural imaging.
Unsupervised Feature Learning via Non-parametric Instance Discrimination
All-in-one Toolbox for Computer Vision Research.
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)
GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
่บ็ฃๅคงๅญธ (NTU) ๆๅฎๆฏ ๆๆใๆฉๅจๅญธ็ฟ (Machine Learning) 2021 Spring ใ่ชฒ็จ็ญ่จ
Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"
[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"
Self-supervised contrastive learning for time series via time-frequency consistency
A curated list of world models for autonomous driving.
Current state of supervised and unsupervised depth completion methods
PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
SC-Depth (V1, V2, and V3) for Unsupervised Monocular Depth Estimation Webpage:https://jiawangbian.github.io/sc_depth_pl/
CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. โญ support visual intelligence development!
Codebase for ECCV18 "The Sound of Pixels"
[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)
LibAUC: A Deep Learning Library for X-Risk Optimization
A list of contrastive Learning papers
Wild Visual Navigation: A system for fast traversability learning via pre-trained models and online self-supervision
Reliable, minimal and scalable library for pretraining foundation and world models
The PASS dataset: pretrained models and how to get the data
Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch
Variants of Vision Transformer and its downstream tasks
A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
30 Semi-Supervised Learning Algorithms
Open source Python library for building bioimage analysis pipelines
A curated list of awesome self-supervised learning methods in videos
Internet Explorer explores the web in a self-supervised manner to progressively find relevant examples that improve performance on a desired target dataset.
[WACV 2024 Oral] - ARNIQA: Learning Distortion Manifold for Image Quality Assessment
A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network
Top 6 AI Paradigms Fighting for Survival in 2026
Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
Accurate denoising of voltage imaging data through statistically unbiased prediction, Nature Methods.
PyTorch code for the paper "You Donโt Need Strong Assumptions: Visual Representation Learning via Temporal Differences"
code for our ECCV-2020 paper: Self-supervised Video Representation Learning by Pace Prediction
An official implementation of PCRLv2 (pre-training and fine-tuning code are included).
Official implementation for Fast-HuBERT: An Efficient Training Framework for Self-Supervised Speech Representation Learning
Self-Supervised Learning for SAR ATR with a Joint-Embedding Predictive Architecture