There are 37 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.
Datasets, tools, and benchmarks for representation learning of code.
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
EVA Series: Visual Representation Fantasies from BAAI
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"
GraphVite: A General and High-performance Graph Embedding System
A comprehensive list of awesome contrastive self-supervised learning papers.
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
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
Library for metric learning pipelines and models.
Experiments for understanding disentanglement in VAE latent representations
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Unsupervised Feature Learning via Non-parametric Instance Discrimination
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
[MICCAI 2019] [MEDIA 2020] Models Genesis
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
Awesome Protein Representation Learning
PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)