ki-ljl / ml-svm
手撸SVM实现二分类
☆18Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for ml-svm
- Linux课程设计：Linux系统下多进程的创建与通信☆15Updated 2 years ago
- 粒子群算法(PSO)的Python实现（求解多元函数的极值）☆22Updated 2 years ago
- NCEPU-EDM（NCEPU和EDM分别是华北电力大学和教育数据挖掘的缩写）软件是专门为华北电力大学本科生所开发的一款简单软件，具有查 询和数据挖掘两大功能模块。其中查询模块为学生提供成绩、课表、考试、GPA、培养方案、成绩总表以及综合测评等教务查询。同时该模块对学生的成绩…☆20Updated 2 years ago
- 2021年计算机保研记录☆13Updated 2 years ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆41Updated 2 years ago
- Implementation of Electric Load Forecasting Based on CNN.☆22Updated 2 years ago
- Implementation of Electric Load Forecasting Based on LSTM(BiLSTM). Including Univariate-SingleStep forecasting, Multivariate-SingleStep f…☆214Updated 2 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆65Updated 2 years ago
- Implementation of cats-vs-dogs based on CNN.☆67Updated 2 years ago
- 鸿蒙开发课程设计：基于JSoup的鸿蒙教务查询软件。☆13Updated 2 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆99Updated 2 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆56Updated 10 months ago
- 🔬 FedCom为SWPU2022届本科毕业设计《基于社区检测的多任务聚类联邦学习》。本研究提出了一种多任务聚类联邦学习（clustered federated learning, CFL）的新方法，该方法的特点是基于社区检测（community detection）来进…☆56Updated last year
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆33Updated 2 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆65Updated 2 years ago
- 🔨 A toolbox for federated learning, aiming to provide implementations of FedAvg, FedProx, Ditto, etc. in multiple versions, such as Pyto…☆62Updated last year
- use lstm&svr to predict the network traffic☆37Updated 3 years ago
- ☆17Updated 2 years ago
- 将联邦学习以及知识蒸馏用于搭建网络入侵检测检测模型，在NSL-KDD数据集上进行了验证。☆21Updated last year
- 基于深度学习的多特征电力负荷预测☆118Updated 4 years ago
- Implementation of Electric Load Forecasting Based on LSTM (BiLSTM). Including direct-multi-output forecasting, single-step-scrolling fore…☆92Updated 2 years ago
- ☆29Updated last year
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆81Updated last year
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆22Updated 2 weeks ago
- PyTorch Federated Learning (easy to use and extend)☆226Updated 10 months ago
- LSTM与电力负荷预测☆8Updated 3 years ago
- FedPSO: Federated Learning Using Particle Swarm Optimization to Reduce Communication Costs☆17Updated last year
- 🎈 2020年中国高校计算机大赛(C4)－网络技术挑战赛EP2决赛赛项：基于CNN+LSTM时空神经网络的在线流量分类模型。☆45Updated last year
- 一个轻量型联邦学习框架，支持支持本地仿真和实际部，支持通信参量、模型、数据的自由更改，支持通信及模型各种指标的观察 开发人员：Jiaxiang Geng/Songning Gao☆24Updated 3 months ago
- 使用多种算法（线性回归、随机森林、支持向量机、BP神经网络、GRU、LSTM）进行电力系统负荷预测/电力预测。通过一个简单的例子。A variety of algorithms (linear regression, random forest, support vecto…☆151Updated 4 years ago