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.

📱 screen auto adaptation solution.

[EMNLP'24] MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning

Creation of an online Greek mail dictation system, using Sphinx and personalized acoustic/language model training

Analytics and modification of the AmbientLight option in VW/Seat/Skoda MIB2 units

Evaluate robustness of adaptation methods on large vision-language models

适配AndroidP、Q版本的demo

[BMVC 2023 Oral] Boost Video Frame Interpolation via Motion Adaptation

Urban Waterlogging Detection: A Challenging Benchmark and Large-Small Model Co-Adapter [ECCV2024]