Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
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Updated
Dec 17, 2024 - Python
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
🔥一种非常好用的 Android 屏幕适配——smallestWidth 限定符适配 https://www.jianshu.com/p/1302ad5a4b04
关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记
INTERSPEECH 2023-2024 Papers: A complete collection of influential and exciting research papers from the INTERSPEECH 2023-24 conference. Explore the latest advances in speech and language processing. Code included. Star the repository to support the advancement of speech technology!
A comprehensive survey of forging vision foundation models for autonomous driving, including challenges, methodologies, and opportunities.
AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning
[CVPR22] Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective
LIDIA: Lightweight Learned Image Denoising with Instance Adaptation (NTIRE, 2020)
Julia implementation of MARGO, an idealized climate-economic modelling framework for Optimizing trade-offs between emissions Mitigation, Adaptation, carbon dioxide Removal, and solar Geoengineering.
Code for "Unsupervised Adaptation for Deep Stereo" - ICCV17
This repository is not maintained anymore. If I have any significant contributions, I usually do a PR for the Faust libraries. This repository contains the Faust libraries for sound and information processing that I use to implement my music complex adaptive systems.
[EMNLP'24] MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning
📱 screen auto adaptation solution.
Creation of an online Greek mail dictation system, using Sphinx and personalized acoustic/language model training
Evaluate robustness of adaptation methods on large vision-language models
[BMVC 2023 Oral] Boost Video Frame Interpolation via Motion Adaptation
Urban Waterlogging Detection: A Challenging Benchmark and Large-Small Model Co-Adapter [ECCV2024]
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