There are 39 repositories under representation-learning topic.
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
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
A curated list of network embedding techniques.
EVA Series: Visual Representation Fantasies from BAAI
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Datasets, tools, and benchmarks for representation learning of code.
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.
A collection of research on knowledge graphs
Code for ALBEF: a new vision-language pre-training method
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
A comprehensive list of awesome contrastive self-supervised learning papers.
Unified Training of Universal Time Series Forecasting Transformers
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 🖼️ & 🖋️
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
A general representation model across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities
LibCity: An Open Library for Urban Spatial-temporal Data Mining
Metric learning and retrieval pipelines, models and zoo.
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
[ECCV 2024 Best Paper Candidate & TPAMI 2025] PointLLM: Empowering Large Language Models to Understand Point Clouds
Experiments for understanding disentanglement in VAE latent representations
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
[MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis
Unsupervised Feature Learning via Non-parametric Instance Discrimination
Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".
Awesome Protein Representation Learning
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics