984 Open source projects that are alternatives of or similar to Jsmlt

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

Simple machine learning library / 簡單易用的機器學習套件

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…

A curated list of data mining papers about fraud detection.

simple tutorial on Machine Learning with Scikitlearn

Python code for common Machine Learning Algorithms

文本分类基准测试

提取图像的灰度共生矩阵（GLCM），根据GLCM求解图像的概率特征，利用特征训练SVM分类器，对目标分类

新浪微博情感分析应用

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

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

An Interactive Approach to Understanding Deep Learning with Keras

Gaussian Process package based on data augmentation, sparsity and natural gradients

This is the implementation of Sparse Projection Oblique Randomer Forest

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

🍊 📊 💡 Orange: Interactive data analysis

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

A document covering machine learning basics. 🤖📊

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Heart Disease prediction using 5 algorithms

dzetsaka : classification plugin for Qgis

Ruby Scoring API for PMML

Code for Tensorflow Machine Learning Cookbook

Loan Application Data Analysis

Online machine learning methods

machine learning algorithm

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）

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。

Machine Learning models from scratch with a better visualisation

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

Handwritten Digit Recognition using Machine Learning and Deep Learning

100 Days of ML Coding

Fake News Detection in Python

Collection of stats, modeling, and data science tools in Python and R.

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

Matlab library for gradient descent algorithms: Version 1.0.1

Information Retrieval in High Dimensional Data (class deliverables)

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

经典机器学习算法的极简实现

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

several methods for text classification

Predicting the winner of 2019 cricket world cup using random forest algorithm

📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms

Interactive Visual Machine Learning Demos.

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

Java version of LIBLINEAR

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

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

An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

Machine Learning library for the web and Node.

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)