jiaconghu / Model-LEGOLinks
Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks
☆16Updated 9 months ago
Alternatives and similar repositories for Model-LEGO
Users that are interested in Model-LEGO are comparing it to the libraries listed below
Sorting:
- Transformer Doctor: Diagnosing and Treating Vision Transformers☆11Updated 9 months ago
- Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers [https://arxiv.org/pdf/2112.04934.pdf]☆14Updated 2 years ago
- Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>☆62Updated last month
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆94Updated last year
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆30Updated 5 months ago
- ☆148Updated last year
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆46Updated last year
- A curated list of Model Merging methods.☆92Updated last year
- Awesome-Low-Rank-Adaptation☆119Updated last year
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- The code repository for ICML24 paper "Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images"☆21Updated 7 months ago
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆71Updated 8 months ago
- Awesome Low-Rank Adaptation☆52Updated 3 months ago
- Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "☆35Updated 2 years ago
- Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selecti…☆24Updated last year
- [NeurIPS2023] Official code of "Understanding Contrastive Learning via Distributionally Robust Optimization"☆41Updated 2 years ago
- Data Optimization in Deep Learning: A Survey☆19Updated 2 years ago
- ☆37Updated last year
- BackTime: Backdoor Attacks on Multivariate Time Series Forecasting☆27Updated 6 months ago
- The official implement of paper "Does Federated Learning Really Need Backpropagation?"☆23Updated 2 years ago
- [ICML 2024] DPZero: Private Fine-Tuning of Language Models without Backpropagation☆15Updated last year
- SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)☆35Updated last year
- [NeurIPS 2024 Spotlight] Code for the paper "Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts"☆66Updated 5 months ago
- FusionBench: A Comprehensive Benchmark/Toolkit of Deep Model Fusion☆179Updated last week
- [ICML‘24] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".☆113Updated 4 months ago
- Awesome Learn From Model Beyond Fine-Tuning: A Survey☆76Updated 10 months ago
- Code for paper "Merging Multi-Task Models via Weight-Ensembling Mixture of Experts"☆29Updated last year
- [ICLR 2025] Code&Data for the paper "Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization"☆13Updated last year
- Accepted LLM Papers in NeurIPS 2024☆37Updated last year
- Papers about training data quality management for ML models.☆99Updated 3 weeks ago