基于猫眼电影数据和SVR回归器的电影票房预测系统, 包括数据爬取, 特征分析以及数据预测
☆16May 16, 2020Updated 5 years ago
Alternatives and similar repositories for maoyan_svm_predictOffice
Users that are interested in maoyan_svm_predictOffice are comparing it to the libraries listed below
Sorting:
- 一个电影数据分析 从数据的爬取 到 票房的预测☆31Jan 25, 2018Updated 8 years ago
- ☆10Dec 17, 2020Updated 5 years ago
- 基于对TMDB-5000-MovieAnalysis数据集进行的一些数据分析以及建立了一个简单模型来对电影评分进行预测☆10Mar 20, 2020Updated 5 years ago
- ☆11Dec 30, 2021Updated 4 years ago
- [ICML2024] "FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees" by Jiaha…☆14Sep 22, 2024Updated last year
- ☆10Mar 31, 2022Updated 3 years ago
- [TVCG 2021] Official Implementation of "FixationNet: Forecasting Eye Fixations in Task-Oriented Virtual Environments"☆11Aug 13, 2025Updated 6 months ago
- CCF-大数据竞赛-基金间的相关性预测-复赛19名☆13Nov 22, 2018Updated 7 years ago
- DualGNN: Dual Graph Neural Network for Micro-video Recommendation☆16Oct 27, 2021Updated 4 years ago
- 本项目是采用Python语言结合机器学习中的常用算法来对微博传播过程中的转发进行预测。☆14Jul 4, 2018Updated 7 years ago
- Very Long Term Field of View Prediction for 360-degree Video Streaming☆13Sep 11, 2019Updated 6 years ago
- Implement of neural networks on 'UC Merced Land Use' dataset with PyTorch☆17Jan 3, 2020Updated 6 years ago
- 1.1问题背景 在电影行业飞速发展的当今，电影已经成为了非常普遍的娱乐选择，中国电影最近几年也是突飞猛进，越来越多的人走进电影院。而信息媒体的发展也使得所有人都拥有了随时随地与世界各地的人讨论电影的机会，电影无疑已经进入了全民关注，全民讨论时代。 但是随着越来越多的电影上映…☆18Aug 6, 2019Updated 6 years ago
- Python Scritpt which can be embedded into PyTorch model to print the model size.☆19Apr 19, 2021Updated 4 years ago
- 收集各种和NLP相关的资料，包括学习资料、模型实现、数据收集等，记录个人学习成长过程中遇到的各种优异资源☆26Mar 9, 2023Updated 3 years ago
- 代码理解FocalLoss实现以及理论理解☆27Sep 11, 2019Updated 6 years ago
- 基于python的影评数据爬取和分析研究(此项目用于毕业设计)☆28May 22, 2020Updated 5 years ago
- 为了方便找工作，爬去拉勾数据进行数据可视化展示分析以便找到一个合适的工作，本项目仅做学习交流使用，请勿作他用☆25Mar 2, 2022Updated 4 years ago
- Temporal Hierarchical Attention at Category- and Item-Level for Micro-Video Click-Through Prediction☆33Nov 26, 2020Updated 5 years ago
- Personalized Hashtag Recommendation for Micro-videos, ACM MM2019☆26Feb 14, 2020Updated 6 years ago
- TransBoost algorithm for transfer learning☆41Jan 31, 2023Updated 3 years ago
- ☆43Dec 8, 2021Updated 4 years ago
- 智慧物流算法大赛简介： 根据包括货值、路程和油价等字段的数据集，对每趟货物运送的运价进行回归预测。 本项目为我的参赛代码，分为四个主要的部分：1.数据预处理；2.特征工程；3.建模调参训练；4.数据可视化。 最终获得了大赛的二等奖。☆38Mar 19, 2019Updated 6 years ago
- IJCAI 2021, "Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation"☆42Feb 1, 2023Updated 3 years ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆43Apr 25, 2023Updated 2 years ago
- Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity…☆44Apr 13, 2023Updated 2 years ago
- IJCAI-Personalized Federated Learning with Graph☆57May 27, 2023Updated 2 years ago
- 数据挖掘作业数据以及代码(电动车价格预测)☆70Jun 8, 2020Updated 5 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆96May 9, 2022Updated 3 years ago
- code of FedGNN☆94May 12, 2022Updated 3 years ago
- A code repository for my Tianchi big data competition.☆117Mar 12, 2018Updated 7 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆133May 20, 2023Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆158Apr 30, 2022Updated 3 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆167Nov 7, 2022Updated 3 years ago
- 本项目是针对医疗数据，进行命名实体识别。项目中有600份标注好的电子病历文本，共需识别含解剖部位、独立症状、症状描述、手术和药物五类实体。该领域的命名实体识别问题是自然语言处理中经典的序列标注问题。☆154Jul 8, 2019Updated 6 years ago
- 数据分析，挖掘建模。☆212Jan 2, 2022Updated 4 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆184Mar 16, 2021Updated 4 years ago
- 《python数据分析与挖掘实战》项目实践及拓展☆234Apr 27, 2019Updated 6 years ago
- 房价预测完整项目：1.爬取链家网数据 2.处理后，用sklearn中几个逻辑回归机器学习模型和keras神经网络搭建模型预测房价 最终结果神经网络效果更好，R^2值0.75左右☆246Jan 2, 2019Updated 7 years ago