Jiaxi Yang's repositories
Awesome-Federated-Unlearning
Awesome Federated Unlearning (FU) Papers (Continually Update)
FL_Shapley_pytorch
Shapley value for contribution measurement of Federated Learning
ContributionEvaluation_FL
Contribution Evaluation methods in Incentive Mechanism of Federated Learning
FedML-pytorch-master
A federated learning experiment platform using PyTorch
abbottyanginchina.github.io
personal website
AutoAlignV2
[ECCV2022] AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object Detection
Awesome-Foundation-Models-in-Medical-Imaging
A curated list of foundation models for vision and language tasks in medical imaging
bert
TensorFlow code and pre-trained models for BERT
BigGAN-PyTorch
The author's officially unofficial PyTorch BigGAN implementation.
clash-for-linux-backup
clash for linux备份仓库
ClassificationCelebA
classification for CelebA
classifier-free-diffusion-guidance-Pytorch
a simple unofficial implementation of classifier-free diffusion guidance
DatasetCondensation
Dataset Condensation Collections
DataValuation_Papers
Literature Review for data valuation
DataValuation_Shapley
The reproduction work of data valuation problem using Shapley value and other strategies
Diffusion-GAN
(Pre-trained CelebA)Official PyTorch implementation for paper: Diffusion-GAN: Training GANs with Diffusion
GEM-GNN
The reproduction experiment code for ICML 2021(Gem GNN Explainer)
GMValuator-System-master
System of GMValuator
homework_software_analysis
homework code of software analysis in Prof. Niu's course
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
LLM-quickstart
Quick Start for Large Language Models (Theoretical Learning and Practical Fine-tuning) 大语言模型快速入门(理论学习与微调实战)
mufc
A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)
ProtoPNet
This code package implements ProtoPNet of paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019)
PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
safe-rlhf
Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback
transformers-code
手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube