Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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Updated
May 29, 2024 - Python
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.
Self-Supervised Speech Pre-training and Representation Learning Toolkit
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Datasets, tools, and benchmarks for representation learning of code.
A collection of research on knowledge graphs
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
The implementation of DeBERTa
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
Code for ALBEF: a new vision-language pre-training method
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
LibCity: An Open Library for Urban Spatial-temporal Data Mining
GraphVite: A General and High-performance Graph Embedding System
EVA Series: Visual Representation Fantasies from BAAI
Experiments for understanding disentanglement in VAE latent representations
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