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

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

Self-Supervised Speech Pre-training and Representation Learning Toolkit

The implementation of DeBERTa

EVA Series: Visual Representation Fantasies from BAAI

A collection of research on knowledge graphs

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

Code for ALBEF: a new vision-language pre-training method

Awesome Graph Self-Supervised Learning

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".

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

Experiments for understanding disentanglement in VAE latent representations

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.