Bayesian Low-Rank Adaptation for Large Language Models
☆38Jun 22, 2024Updated last year
Alternatives and similar repositories for bayesian_lora
Users that are interested in bayesian_lora are comparing it to the libraries listed below
Sorting:
- Bayesian low-rank adaptation for large language models☆28May 4, 2024Updated last year
- [ICLR 2026] ParallelBench: Understanding the Tradeoffs of Parallel Decoding in Diffusion LLMs☆44Updated this week
- ☆12Jul 30, 2025Updated 7 months ago
- This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.☆29May 15, 2024Updated last year
- A lightweight library for Bayesian analysis of LLM evals (ICML 2025 Spotlight Position Paper)☆24May 28, 2025Updated 9 months ago
- Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"☆32Jul 25, 2024Updated last year
- Code related to ’Beyond spectral gap: The role of the topology in decentralized learning‘.☆14Jun 7, 2022Updated 3 years ago
- Repository for Variational Linearized Laplace Approximation for Bayesian Deep Learning☆12Sep 6, 2024Updated last year
- Bayesian Low-Rank Adaptation of LLMs: BLoB [NeurIPS 2024] and TFB [NeurIPS 2025]☆35Feb 4, 2026Updated last month
- Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.☆18Mar 21, 2024Updated 2 years ago
- ☆15Aug 14, 2025Updated 7 months ago
- [ICLR 2025] Official implementation of paper "Dynamic Low-Rank Sparse Adaptation for Large Language Models".☆24Mar 16, 2025Updated last year
- ☆15Sep 24, 2023Updated 2 years ago
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Nov 19, 2022Updated 3 years ago
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆25Oct 14, 2024Updated last year
- Laplace approximations for Deep Learning.☆537Apr 22, 2025Updated 11 months ago
- TMI 2023: FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition☆11Mar 19, 2024Updated 2 years ago
- [CVPR2025] The implementation of the paper "OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary".☆18May 9, 2025Updated 10 months ago
- This is the source code of F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental …☆11Oct 19, 2024Updated last year
- On the Effectiveness of Parameter-Efficient Fine-Tuning☆38Nov 4, 2023Updated 2 years ago
- A curated list of Robust Machine Learning papers/articles and recent advancements.☆33Oct 13, 2022Updated 3 years ago
- The code repository for the CURLoRA research paper. Stable LLM continual fine-tuning and catastrophic forgetting mitigation.☆53Aug 28, 2024Updated last year
- Laplace Redux -- Effortless Bayesian Deep Learning☆45Jun 6, 2025Updated 9 months ago
- A framework to optimize Parameter-Efficient Fine-Tuning for Fairness in Medical Image Analysis☆12Feb 29, 2024Updated 2 years ago
- Bayesian neural nets trained with Hamiltonian Monte Carlo☆10Sep 28, 2018Updated 7 years ago
- This repo is to demo the concept of lossless compression with Transformers as encoder and decoder.☆14May 2, 2024Updated last year
- Code for Paper "PMAES: Prompt-mapping Contrastive Learning for Cross-prompt Automated Essay Scoring" ACL2023☆11Oct 6, 2023Updated 2 years ago
- Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"☆25Sep 13, 2024Updated last year
- [ICLR 2025] COME: Test-time Adaption by Conservatively Minimizing Entropy☆18Mar 5, 2025Updated last year
- An implementation of EinsumNetworks in PyTorch.☆23Jan 26, 2026Updated last month
- ☆30Oct 26, 2020Updated 5 years ago
- Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.☆22Jul 30, 2024Updated last year
- Code accompanying the ICML'24 paper "Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize"☆23Feb 13, 2025Updated last year
- Quantification of Uncertainty with Adversarial Models☆29Jul 11, 2023Updated 2 years ago
- source code for NeurIPS'24 paper "HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection"☆66Apr 11, 2025Updated 11 months ago
- [ICDCS 2023] Evaluation and Optimization of Gradient Compression for Distributed Deep Learning☆10Apr 28, 2023Updated 2 years ago
- Repository for "Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning" (MICCAI2023)☆19Oct 23, 2023Updated 2 years ago
- Confidence Regulation Neurons in Language Models (NeurIPS 2024)☆15Feb 1, 2025Updated last year
- ☆38Dec 19, 2024Updated last year