self-supervised-learning

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

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.

OpenMMLab Pre-training Toolbox and Benchmark

A python library for self-supervised learning on images.

Self-Supervised Speech Pre-training and Representation Learning Toolkit

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"

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.

solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"

[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"

Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel XPU (CPU-only and CUDA also supported).

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

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

[IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

[CVPR 2023] VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

[MICCAI 2019 Young Scientist Award] [MedIA Best Paper Award] Models Genesis: self-supervised pre-training for 3D medical images. Learns transferable representations from unlabeled CT and MRI volumes, then fine-tunes for downstream segmentation and classification. Keras and PyTorch weights included.

Foundational Model for Speech Recognition Tasks

INTERSPEECH 2023-2024 Papers: A complete collection of influential and exciting research papers from the INTERSPEECH 2023-24 conference. Explore the latest advances in speech and language processing. Code included. Star the repository to support the advancement of speech technology!

CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

[ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)