Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）
☆458Oct 16, 2020Updated 5 years ago
Alternatives and similar repositories for mnist-classification
Users that are interested in mnist-classification are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python与机器学习方向，《决策树与集成算法》课程仓库☆25Jun 13, 2018Updated 8 years ago
- 支持向量机的python实现☆50Jul 30, 2015Updated 11 years ago
- 用Python实现SVM多分类器☆445Apr 29, 2024Updated 2 years ago
- 支持向量机，Support Vector Machine(SVM)，多类分类☆33Dec 16, 2016Updated 9 years ago
- 疫情期间网民情绪识别比赛baseline，使用BERT进行端到端的fine-tuning，datafountain平台，平台评测F1值0.716。☆35Mar 7, 2020Updated 6 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- 感知器、贝叶斯分类、决策树分类、K最近邻法、逻辑回归、支持向量机...☆131Sep 8, 2014Updated 11 years ago
- 利用Alexnet实现MNIST☆12Aug 27, 2018Updated 8 years ago
- Code repository for the 2023 MICCAI Paper "TabAttention: Learning Attention Conditionally on Tabular Data"☆18Oct 30, 2023Updated 2 years ago
- 通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯☆734Oct 22, 2019Updated 6 years ago
- Qt C++ 图书推荐与评论系统GUI 协同过滤推荐 collaborative filtering, book recommendation System, Book-Crossing Dataset☆24Jan 13, 2020Updated 6 years ago
- 使用决策树进行客户流失预测分析☆12Jan 17, 2018Updated 8 years ago
- 【Numpy 手写实现】SVM 支持向量机 | KNN K近邻 | Kmeans | Logistic Regression 逻辑回归 | Maximum Entropy 最大熵 | Naive Bayes 朴素贝叶斯 | Perception 感知机 | Decision…☆216Mar 29, 2020Updated 6 years ago
- Official PyTorch implementation for the following KDD2022 paper: Variational Inference for Training Graph Neural Networks in Low-Data Re…☆20Oct 20, 2022Updated 3 years ago
- This is a very simple implementation for the NIPS 2017 paper Prototypical Networks for Few-shot Learning.☆20Oct 4, 2021Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- mlp/rnn/gru + attention 实现文本情感分析☆22Sep 26, 2018Updated 7 years ago
- 二分类SVM与多分类SVM的实现☆14Jul 16, 2017Updated 9 years ago
- Automated download and load entire flights data, and functions for generating NYC flights, delay and weather delay for 2014.☆15Jan 13, 2015Updated 11 years ago
- 本程序实现决策树的建立与可视化，以及决策树的预剪枝与后剪枝，数据集为西瓜书4.2、4.3节中的西瓜数据集☆38Sep 6, 2019Updated 6 years ago
- 逻辑回归预测违约可能☆34Aug 6, 2017Updated 9 years ago
- Django+echarts+py2neo进行知识图谱的前端展示☆16Oct 13, 2020Updated 5 years ago
- Source code of SIGIR2021 Paper 'One Chatbot Per Person: Creating Personalized Chatbots based on Implicit Profiles'☆46Sep 21, 2021Updated 4 years ago
- 利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码☆1,466Feb 6, 2023Updated 3 years ago
- ☆41Apr 25, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- 使用scik-learn 实现k-means，KNN,SVM,贝叶斯 ，topic_extraction等算法，同时评估分类的准确率，召回率和F值。语料库是中文文本☆43Jul 23, 2017Updated 9 years ago
- Pytorch implementation of stacked denoising autoencoder☆26Mar 10, 2026Updated 5 months ago
- 决策树分类与回归模型的实现和可视化☆18Oct 13, 2021Updated 4 years ago
- 将word2vec训练生成的词向量和BERT生成的词向量进行可视化对比☆15Jun 29, 2020Updated 6 years ago
- 构建基于逻辑回归的评分卡模型☆47Dec 14, 2018Updated 7 years ago
- PyTorch Implementation of "DeepCaps: Going Deeper with Capsule Networks" by Jathushan Rajasegaran et al.☆26Dec 28, 2020Updated 5 years ago
- This project wins the intelligent algorithm contest finalist award and stands out from over 2000teams in China Underwater Robot Professio…☆11Feb 1, 2022Updated 4 years ago
- Java swing实现的大富翁游戏(monopoly of RUC), 《大富翁7》同款界面，加以RUC学校特色☆31Jul 27, 2017Updated 9 years ago
- 莫烦强化学习教程的PyTorch实现☆10Nov 23, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆48Feb 4, 2019Updated 7 years ago
- svm_classification是一个通用的svm模型训练框架，稍加修改即可变成一个通用的机器学习模型训练框架。方便快速训练机器学习模型，可重复使用，避免重复写代码。☆15Aug 20, 2018Updated 8 years ago
- 利用CNN模型进行文本分类，包含双通道和单通道，是否使用词向量等多种方式☆12Jul 5, 2020Updated 6 years ago
- Bagua tutorials.☆13Sep 4, 2022Updated 3 years ago
- In this project, I used Decision Tree Learning Model as the main algorithm to build the model. Due to the big amount of flight data, we i…☆12Dec 21, 2021Updated 4 years ago
- BJTU, trainning course, Predicting flight delays with weather data.☆12Aug 21, 2023Updated 3 years ago
- cnn lstm的关系识别 ,keras实现 网络结构简单.多分类☆20Jun 28, 2023Updated 3 years ago