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
Self-Supervised Speech Pre-training and Representation Learning Toolkit
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
EVA Series: Visual Representation Fantasies from BAAI
The implementation of DeBERTa
Code for ALBEF: a new vision-language pre-training method
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
Cambrian-1 is a family of multimodal LLMs with a vision-centric design.
Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️
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.
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
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.
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
Python library for knowledge graph embedding and representation learning.
PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
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