SydCS
This is Ye, Working on NN ...
Wuhan University299 Bayi Road, Wuchang District, Wuhan, Hubei, P.R. China
SydCS's Stars
liudaizong/Awesome-LVLM-Attack
😎 up-to-date & curated list of awesome Attacks on Large-Vision-Language-Models papers, methods & resources.
Allen-piexl/JailbreakZoo
YihanWang617/llm-jailbreaking-defense
A lightweight library for large laguage model (LLM) jailbreaking defense.
cleverhans-lab/cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
HandsOnLLM/Hands-On-Large-Language-Models
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
shuolucs/Awesome-Out-Of-Distribution-Detection
A curated list of awesome out-of-distribution detection resources.
QData/TextAttack
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
clam004/intro_continual_learning
This is a tutorial to connect the fundamental mathematics to a practical implementation addressing the continual learning problem of artificial intelligence
synbol/Awesome-Parameter-Efficient-Transfer-Learning
Collection of awesome parameter-efficient fine-tuning resources.
huggingface/alignment-handbook
Robust recipes to align language models with human and AI preferences
davidbau/how-to-read-pytorch
Quick, visual, principled introduction to pytorch code through five colab notebooks.
YBZh/OpenOOD-VLM
Benchmarking Generalized Out-of-Distribution Detection with Vision-Language Models
mrflogs/ICLR24
Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"
mrflogs/CraFT
Official code for ICML 2024 paper, "Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models"
AmourWaltz/Reliable-LLM
zhoudw-zdw/RevisitingCIL
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)
hee-suk-yoon/C-TPT
[ICLR'24] Official code for "C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion"
yuval-alaluf/Attend-and-Excite
Official Implementation for "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models" (SIGGRAPH 2023)
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
davidrosenberg/mlcourse
Machine learning course materials.
ENSTA-U2IS-AI/torch-uncertainty
Open-source framework for uncertainty and deep learning models in PyTorch :seedling:
deeplearning-wisc/MCM
PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022
PRIV-Creation/Awesome-Controllable-T2I-Diffusion-Models
A collection of resources on controllable generation with text-to-image diffusion models.
AtsuMiyai/Awesome-OOD-VLM
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey [Miyai+, arXiv2024]
Trustworthy-AI-Group/TransferAttack
TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.
huytransformer/Awesome-Out-Of-Distribution-Detection
Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc
hollance/reliability-diagrams
Reliability diagrams visualize whether a classifier model needs calibration
G-U-N/PyCIL
PyCIL: A Python Toolbox for Class-Incremental Learning
selierlin/Share-SSR-V2ray
机场推荐/SSR V2ray节点订阅机场/镜像直连/工具推荐
sun-hailong/LAMDA-PILOT
🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox