《深度学习与计算机视觉》配套代码
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Updated
Nov 30, 2020 - Python
《深度学习与计算机视觉》配套代码
本人多次机器学习与大数据竞赛Top5的经验总结,满满的干货,拿好不谢
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
FusionBench: A Comprehensive Benchmark/Toolkit of Deep Model Fusion
AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".
Representation Surgery for Multi-Task Model Merging. ICML, 2024.
Official repository of the "Transformer Fusion with Optimal Transport" paper, published as a conference paper at ICLR 2024.
Pack of LLMs: Model Fusion at Test-Time via Perplexity Optimization
SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery. Arxiv, 2024.
Project for the course "Deep Learning" 2022 at ETH Zurich
This repository serves as a template for creating new projects based on FusionBench. It includes all the necessary configurations and boilerplate code to get started quickly.
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