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

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

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

「大模型」3小时完全从0训练26M的小参数GPT，个人显卡即可推理训练！

OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.

An awesome repository & A comprehensive survey on interpretability of LLM attention heads.

A PyTorch Library for Multi-Task Learning

LLM-Merging: Building LLMs Efficiently through Merging

[NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"

Tools for merging pretrained large language models.

assistant tools for attention visualization in deep learning

📖 A curated list of resources dedicated to hallucination of multimodal large language models (MLLM).

Transformers 库快速入门教程

InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output

阿里云盘命令行客户端，支持JavaScript插件，支持同步备份功能。

The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''

An LLM-free Multi-dimensional Benchmark for Multi-modal Hallucination Evaluation

A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)

《动手学大模型Dive into LLMs》系列编程实践教程

A collection of AWESOME things about mixture-of-experts

[Mamba-Survey-2024] Paper list for State-Space-Model/Mamba and it's Applications

✨✨Latest Advances on Multimodal Large Language Models

GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]

哈工大计算机学院课程整理

哈工大（本部）计算机专业研究生课程攻略 ｜ HIT CS Postgraduate Guide

We introduce a novel approach for parameter generation, named neural network parameter diffusion (p-diff), which employs a standard latent diffusion model to synthesize a new set of parameters

CVPR and NeurIPS poster examples and templates. May we have in-person poster session soon!

🐧 Linux教程，主要内容：Linux 命令、Linux 系统运维、软件运维、精选常用Shell脚本

In this repository, you can find my solutions to some exercises of the book "Understanding Machine Learning From Theory to Algorithms" by Shai Shalev-Shwartz and Shai Ben-David.