Statistics for topic transfer-learning

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

Fast and Accurate ML in 3 Lines of Code

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.

Collection of AWESOME vision-language models for vision tasks

Code for Zero-Shot Tokenizer Transfer

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.

Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)

The official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"

AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

Fast and Accurate ML in 3 Lines of Code

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Collection of AWESOME vision-language models for vision tasks

2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

Code for Zero-Shot Tokenizer Transfer

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.

Official PyTorch Implementation and Pre-trained Models for Benchmarking Transfer Learning for Medical Image Analysis

Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG

A repo for training and finetuning models for hands segmentation.

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

Fast and Accurate ML in 3 Lines of Code

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Collection of AWESOME vision-language models for vision tasks

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

Small sample survival analysis through a novel transfer survival forest.

Comprehensive repository of Data Science projects spanning Machine Learning, Deep Learning, and Natural Language Processing. Demonstrates practical applications of algorithms and tools on real-world d...

IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.

This is a meta-model distilled from LLMs for information extraction. This is an intermediate checkpoint that can be well-transferred to all kinds of downstream information extraction tasks.

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.

Code for Zero-Shot Tokenizer Transfer

[NeurIPS 2024] AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation

ML Nexus is an open-source collection of machine learning projects, covering topics like neural networks, computer vision, and NLP. Whether you're a beginner or expert, contribute, collaborate, and gr...

[ICML 2024] Let Go of Your Labels with Unsupervised Transfer

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

Fast and Accurate ML in 3 Lines of Code

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Collection of AWESOME vision-language models for vision tasks

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

The official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"

autoupdate paper list

MLMD: a programming-free AI platform to predict and design materials

X-Trend: Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies

[ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)