KxuanZhang

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阿里巴巴全球调度算法大赛

2019_SCS_SoftwareTest

6-DOF-Inertial-Odometry

IMU-Based 6-DOF Odometry

AdaptBatch

Basic code for adaptive batch in pytorch

adaptdl

Resource-adaptive cluster scheduler for deep learning training.

AI-Job-Notes

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

ChemicalProductKnowledgeGraph

smart-home

SomeMatlabPictureTemplate

WeatherCrawler

KxuanZhang/adaptdl

Resource-adaptive cluster scheduler for deep learning training.

KxuanZhang/Async-HFL

[IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks

KxuanZhang/BudgetCL

Code for CVPR paper: Computationally Budgeted Continual Learning: What Does Matter?

KxuanZhang/CarM

Carousel Memory: Rethinking the Design of Episodic Memory for Continual Learning

KxuanZhang/ClusterFL

Repo for MobiSys 2021 paper: "ClusterFL: A Similarity-Aware Federated Learning System for Human Activity Recognition".

KxuanZhang/continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

KxuanZhang/continual_learning_papers

Relevant papers in Continual Learning

KxuanZhang/CURE-TSR

CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign Recognition

KxuanZhang/DeepLearningSystem

Deep Learning System core principles introduction.

KxuanZhang/ElasticTrainer

Code for paper "ElasticTrainer: Speeding Up On-Device Training with Runtime Elastic Tensor Selection" (MobiSys'23)

KxuanZhang/FedPCL

[NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach

KxuanZhang/FedScale

FedScale is a scalable and extensible open-source federated learning (FL) platform.

KxuanZhang/GreenTrainer

Code for paper "Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation" (ICLR'24)

KxuanZhang/Husformer

This repository contains the source code for our paper: "Husformer: A Multi-Modal Transformer for Multi-Modal Human State Recognition". For more details, please refer to our paper at https://arxiv.org/abs/2209.15182.

KxuanZhang/LoCon

LoRA for convolution layer

KxuanZhang/LoRA

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

KxuanZhang/LUMP

Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)

KxuanZhang/mammoth

An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

KxuanZhang/Miro

Miro[ACM MobiCom '23] Cost-effective On-device Continual Learning over Memory Hierarchy with Miro

KxuanZhang/NNCSL-ICCV2023

Official implementation of NNCSL

KxuanZhang/SCALE

[CLVision 2023] SCALE: Online Self-Supervsed Lifelong Learning without Prior Knowledge

KxuanZhang/Semi-supervised-learning

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

KxuanZhang/SHADE

SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training

KxuanZhang/SlimFit

KxuanZhang/SLNetCode

KxuanZhang/SparCL

SparCL: Sparse Continual Learning on the Edge @ NeurIPS 22

KxuanZhang/SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

KxuanZhang/SynMotion

KxuanZhang/TFC-pretraining

Self-supervised contrastive learning for time series via time-frequency consistency

KxuanZhang/tiny-training

On-Device Training Under 256KB Memory [NeurIPS'22]