Whitepinkwolf's Stars
dair-ai/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
dair-ai/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
XiaoxinHe/TAPE
Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning"
BUAA-CST/iLRG
mankasto/iLRG
Instance-wise Batch Label Restoration via Gradients In Federated Learning (ICLR 2023)
langgenius/dify
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
TASI-LAB/Unlearning-inversion-attacks
This repository contains Python code for the paper "Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning".
RayeRen/acad-homepage.github.io
AcadHomepage: A Modern and Responsive Academic Personal Homepage
LechengKong/OneForAll
A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
ventr1c/UGBA
An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)
XiaoxinHe/Awesome-Graph-LLM
A collection of AWESOME things about Graph-Related LLMs.
tamlhp/awesome-machine-unlearning
Awesome Machine Unlearning (A Survey of Machine Unlearning)
gnipping/Awesome-ML-SP-Papers
A curated list of Meachine learning Security & Privacy papers published in security top-4 conferences (IEEE S&P, ACM CCS, USENIX Security and NDSS).
ctgk/PRML
PRML algorithms implemented in Python
avdvg/VFL-Survey
FLAIR-THU/VFLAIR
THU-AIR Vertical Federated Learning general, extensible and light-weight framework
iamgroot42/mimir
Python package for measuring memorization in LLMs.
illidanlab/dpgan
Source code of paper "Differentially Private Generative Adversarial Network"
pliang279/awesome-phd-advice
Collection of advice for prospective and current PhD students
youngfish42/Awesome-FL
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
sdv-dev/CTGAN
Conditional GAN for generating synthetic tabular data.
ftramer/LM_Memorization
Training data extraction on GPT-2
LIMBO42/StaticAnalysis
pascal-lab/Tai-e-assignments
Tai-e assignments for static program analysis
jiank2/RawlsGCN
Implementations of 'RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network', WWW'22
songzhen-neu/ecgraph
PASSIONLab/CAGNET
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
zkhku/fedsage
Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)
wenzhu23333/Differential-Privacy-Based-Federated-Learning
Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )