Topic: svm Goto Github
Some thing interesting about svm
Some thing interesting about svm
svm,ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
User: 30lm32
svm,[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
User: afagarap
Home Page: https://arxiv.org/pdf/1709.03082.pdf
svm,Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset
User: aminehorseman
svm,AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Organization: apachecn
Home Page: http://ailearning.apachecn.org/
svm,Java version of LIBLINEAR
User: bwaldvogel
Home Page: https://liblinear.bwaldvogel.de
svm,Compendium of free ML reading resources
User: carl-mcbride-ellis
svm,OpenTextClassification is all you need for text classification! Open text classification for everyone, enjoy your NLP journey! 这可能是目前为止最全面的开源文本分类项目,支持中英双语、多种模型、多种任务。
User: catqaq
Home Page: https://zhuanlan.zhihu.com/p/617133715?
svm,Java Statistical Analysis Tool, a Java library for Machine Learning
User: edwardraff
svm,Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
User: faridcher
Home Page: https://www.coursera.org/learn/machine-learning
svm,Ruby language bindings for LIBSVM
User: febeling
svm,numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法
User: fengyang95
svm,Simple machine learning library / 簡單易用的機器學習套件
User: fukuball
Home Page: https://github.com/fukuball/FukuML-Tutorial
svm,HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS
User: hansren1024
Home Page: http://blog.csdn.net/renhanchi/article/category/7007663
svm,Scene text detection and recognition based on Extremal Region(ER)
User: hsiehyichia
svm,This repository contains the code which can recognise the alphabets in Indian sign language for blind using opencv and tensorflow.
User: imrishabhgupta
svm,:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
User: jack-cherish
Home Page: https://cuijiahua.com/blog/ml/
svm,Classification of Breast Cancer diagnosis Using Support Vector Machines
User: jean-njoroge
svm,Curso de Introducción a Machine Learning con Python
User: joanby
Home Page: https://www.udemy.com/course/machinelearningpython/
svm,Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
User: junshengfu
svm,Implementation of the paper "No Reference Image Quality Assessment in the Spatial Domain" by A Mittal et al. in OpenCV (using both C++ and Python)
User: krshrimali
svm,中文文本分类实践,基于搜狗新闻语料库,采用传统机器学习方法以及预训练模型等方法
User: lijqhs
svm,Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
User: liyanghart
svm,经典机器学习算法的极简实现
User: luokn
svm,TextClf :基于Pytorch/Sklearn的文本分类框架,包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型,通过简单配置即可完成数据处理、模型训练、测试等过程。
User: luopeixiang
svm,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
User: lxztju
svm,Machine Learning library for the web and Node.
Organization: machinelearnjs
Home Page: https://www.machinelearnjs.com/
svm,A repository contains more than 12 common statistical machine learning algorithm implementations. 常见机器学习算法原理与实现
User: moon-hotel
svm,(陆续更新)重新整理过的基于机器学习的股票价格预测算法,里面包含了基本的回测系统以及各种不同的机器学习算法的股票价格预测,包含:LSTM算法、Prophet算法、AutoARIMA、朴素贝叶斯、SVM、随机森林等
User: moyuweiqing
svm,machine learning algorithm
User: myazi
svm,Code for Tensorflow Machine Learning Cookbook
User: nfmcclure
svm,目标检测 - R-CNN算法实现
Organization: object-detection-algorithm
svm,The Operator Splitting QP Solver
Organization: osqp
Home Page: https://osqp.org
svm,Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别
User: renovamen
svm,Face recognition system using MTCNN, FACENET, SVM and FAST API to track participants of Big Brother Brasil in real time.
User: rrazvd
svm,⛈️ RumbleDB 1.21.0 "Hawthorn blossom" 🌳 for Apache Spark | Run queries on your large-scale, messy JSON-like data (JSON, text, CSV, Parquet, ROOT, AVRO, SVM...) | No install required (just a jar to download) | Declarative Machine Learning and more
Organization: rumbledb
Home Page: http://rumbledb.org/
svm,Python code for common Machine Learning Algorithms
User: susanli2016
svm,A minimalistic educational hypervisor for Windows on AMD processors.
User: tandasat
svm,SimpleSvmHook is a research purpose hypervisor for Windows on AMD processors.
User: tandasat
svm,Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
User: tatsuyah
svm,⚡️⚡️⚡️《机器学习实战》代码(基于Python3)🚀
User: tefuirnever
Home Page: https://blog.csdn.net/tefuirnever
svm,Open Source Landmarking Library
User: uricamic
Home Page: http://cmp.felk.cvut.cz/~uricamic/clandmark
svm,Regression, Scrapers, and Visualization
User: vaibhav
svm,detect stages in video automatically
User: williamfzc
svm,30 Semi-Supervised Learning Algorithms
User: ygzwqzd
svm,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)
User: zhengyima
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.