Name: Jiaxi Yang
Type: User
Company: The University of Electronic Science and Technology of China
Bio: My name is Jiaxi Yang, final-year master student at UESTC. Research interest is Trustworthy AI, Federated Learning
Location: China
Blog: https://abbottyanginchina.github.io
Jiaxi Yang's Projects
personal website
🤖🤖 Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of feature importance for individual samples.
安卓学习从入门到精通源代码
[ECCV2022] AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object Detection
Federated Learning Library: https://fedml.ai
Awesome Federated Unlearning (FU) Papers (Continually Update)
A curated list of foundation models for vision and language tasks in medical imaging
This is a collection of awesome papers I have read (carefully or roughly) in the fields of security in diffusion models. Any suggestions and comments are welcome ([email protected]).
TensorFlow code and pre-trained models for BERT
The author's officially unofficial PyTorch BigGAN implementation.
Javascript+CSS3完成的计算器
Linux 端使用 Clash 作为代理工具
clash for linux备份仓库
classification for CelebA
a simple unofficial implementation of classifier-free diffusion guidance
Contribution Evaluation methods in Incentive Mechanism of Federated Learning
Dataset Distillation
Dataset Condensation Collections
Literature Review for data valuation
The reproduction work of data valuation problem using Shapley value and other strategies
Evaluation of Deep Convolutional Generative Adversarial Networks for data augmentation of chest X-ray images
Galaxy Federated Learning Framework (星际联邦学习框架)
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
(Pre-trained CelebA)Official PyTorch implementation for paper: Diffusion-GAN: Training GANs with Diffusion
Drowsiness detection using yolo algorithm
A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561
Playground for testing Horizontal Federated Machine Learning systems using the Shapley Value for profit allocation
federated-unlearning-via-class-discriminative-pruning
A Research-oriented Federated Learning Library and Benchmark Platform for Graph Neural Networks. Accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.