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A no-frills curriculum vitae (CV) template using Typst and YAML to version control CV data.
An examle setup for the cv.typ CV/résumé template made with Typst
MapReduce: Simplified Data Processing on Large Clusters
KVRaft:Simplified In-Memory Database with Key-Value Pair via Raft
uFedMBA: Unforgotten Presonalized Federated Learning with Memory Bank for Adaptively Aggregated Layers
CarlaScapes dataset: Vehicle semantic segmentation. CarlaScapes dataset samples from CARLA simulator involving 12 different Map. Specifically, these maps imitate the real-world settings such as urb…
(MSN2024) FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous Vehicles. (IEEE TMC) FedRAV: Hierarchically Federated Region-Learning for Traffic Object C…
https://github.com/benmahr/RenZhengfei
涵盖了 Spring 框架的核心概念和关键功能，包括控制反转（IOC）容器的使用，面向切面编程（AOP）的原理与实践，事务管理的方式与实现，Spring MVC 的流程与控制器工作机制，以及 Spring 中数据访问、安全、Boot 自动配置等方面的深入研究。此外，它还包含了 Spring 事件机制的应用、高级主题如缓存抽象和响应式编程，以及对 Spring 源码的编程风格与设计模式的深入探讨。
Redis 7.0.5 版本——中文注释，持续更新！欢迎参与本项目！🍭🍭🍭
implement an end-to-end classifier based on Traffic Light Dataset
Vehicle-10, vehicle image classification dataset, consists of 36006 vehicle images from the Internet and covers 10 categories.
PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.
Master Federated Learning in 2 Hours—Run It on Your PC!
Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity
PyTorch implementation of Kaggle GTSRB challenge with 99.8% accuracy
AddressSanitizer, ThreadSanitizer, MemorySanitizer
🎨 FedAvg Optimization On LQR Control Of A 1-Dimensional Point Mass "Robot"
A python project with Carla API to acquire Image from Carla Simulator and Ground truth associated.
KITTI-CARLA: Python scripts to generate the KITTI-CARLA dataset
To build a self driving car simulator for Chinese traffic, which based on intel open source simulator CARLA.
This repository stores the codes of my master's thesis "Semantic Landmark-based Localization in HD-Maps using Object-level Detections." The publication to ITSC 2021 based on this work is in progress.
CVPR 2023 FedSeg: Class-Heterogeneous Federated Learning for Semantic Segmentation
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Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning
Official code implementation for "Personalized Federated Learning using Hypernetworks" [ICML 2021]
Codebase for An Efficient Framework for Clustered Federated Learning.