representation-learning

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

Reading list for research topics in multimodal machine learning

EVA Series: Visual Representation Fantasies from BAAI

Self-Supervised Speech Pre-training and Representation Learning Toolkit

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

Cambrian-1 is a family of multimodal LLMs with a vision-centric design.

Unified Training of Universal Time Series Forecasting Transformers

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

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

GraphVite: A General and High-performance Graph Embedding System

Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️

LibCity: An Open Library for Urban Spatial-temporal Data Mining

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

PyCIL: A Python Toolbox for Class-Incremental Learning

A general representation model across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities

[ECCV 2024 Best Paper Candidate & TPAMI 2025] PointLLM: Empowering Large Language Models to Understand Point Clouds

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

Metric learning and retrieval pipelines, models and zoo.

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

A powerful baseline for image classification, face recognition and image retrieval with Pytorch

[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.

Awesome Protein Representation Learning

This repo contains the code for "VLM2Vec / MMEB" [ICLR 2025], "VLM2Vec-V2 / MMEB-V2" [TMLR 2026], and "MMEB-V3" [COLM 2026]

[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning

Saprot: Protein Language Model with Structural Alphabet (AA+3Di)

Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

[ECCV 2024] Tokenize Anything via Prompting

Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)

Self-supervised contrastive learning for time series via time-frequency consistency