Jiaxi Yang (abbottyanginchina)

abbottyanginchina

Geek Repo

Company:The University of Electronic Science and Technology of China

Location:China

Home Page:https://abbottyanginchina.github.io

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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

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ContributionEvaluation_FL

Contribution Evaluation methods in Incentive Mechanism of Federated Learning

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FedML-pytorch-master

A federated learning experiment platform using PyTorch

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feul

Repo on unlearning in FL. FYP22002@HKUCS.

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AutoAlignV2

[ECCV2022] AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object Detection

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Awesome-Foundation-Models-in-Medical-Imaging

A curated list of foundation models for vision and language tasks in medical imaging

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bert

TensorFlow code and pre-trained models for BERT

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BigGAN-PyTorch

The author's officially unofficial PyTorch BigGAN implementation.

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clash-for-linux-backup

clash for linux备份仓库

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ClassificationCelebA

classification for CelebA

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classifier-free-diffusion-guidance-Pytorch

a simple unofficial implementation of classifier-free diffusion guidance

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DatasetCondensation

Dataset Condensation Collections

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DataValuation_Papers

Literature Review for data valuation

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DataValuation_Shapley

The reproduction work of data valuation problem using Shapley value and other strategies

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Diffusion-GAN

(Pre-trained CelebA)Official PyTorch implementation for paper: Diffusion-GAN: Training GANs with Diffusion

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GEM-GNN

The reproduction experiment code for ICML 2021(Gem GNN Explainer)

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GMValuator-System-master

System of GMValuator

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homework_software_analysis

homework code of software analysis in Prof. Niu's course

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llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

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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)

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mufc

A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)

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ProtoPNet

This code package implements ProtoPNet of paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019)

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PyPortfolioOpt

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

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safe-rlhf

Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback

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transformers-code

手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube

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