762 Open source projects that are alternatives of or similar to Mylearn

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

经典机器学习算法的极简实现

100 Days of ML Coding

Matlab library for gradient descent algorithms: Version 1.0.1

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

Python code for common Machine Learning Algorithms

General Assembly's 2015 Data Science course in Washington, DC

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

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

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

Information Retrieval in High Dimensional Data (class deliverables)

A Python package to build predictive linear and logistic regression models focused on performance and interpretation

机器学习-Coursera-吴恩达- python+Matlab代码实现

📈 Regression and Classification with UC Davis student quiz data and exam data

A set of machine learning experiments in Clojure

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

整理记录本人担任课程助教设计的四个机器学习实验，主要涉及简单的线性回归、朴素贝叶斯分类器、支持向量机、CNN做文本分类。内附实验指导书、讲解PPT、参考代码，欢迎各位码友讨论交流。

An introductory statistics course for social scientists, using Stata

🏆 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.

Python implementation of Andrew Ng's ML course projects

This repository contains all the programming exercises in Python for the Coursera course called "Machine Learning" by Adjunct Professor Andrew Ng at Stanford University.

Machine Learning Course @ Santa Clara University

Regression, Scrapers, and Visualization

Code for Tensorflow Machine Learning Cookbook

Java version of LIBLINEAR

文本分类基准测试

Tracking, notes and programming snippets while learning predictive analytics

Variational Bayes linear and logistic regression

🏭 JavaScript Machine Learning Toolkit

I will update this repository to learn Machine learning with python with statistics content and materials

Plain python implementations of basic machine learning algorithms

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

A New, Interactive Approach to Learning Python

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

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。

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.

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

Interactive Visual Machine Learning Demos.

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

simple tutorial on Machine Learning with Scikitlearn

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

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

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Deep Learning From Scratch

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）

Real-time Monitoring and Analysis of Data Streams

简单易用 浏览器实时查看日志

JSON console backend for Elixir Logger.

命名体识别(NER)综述-论文-模型-代码(BiLSTM-CRF/BERT-CRF)-竞赛资源总结-随时更新

Add an elegant command-line interface to any page

Chinese & English Cws Pos Ner Entity Recognition implement using CNN bi-directional lstm and crf model with char embedding.基于字向量的CNN池化双向BiLSTM与CRF模型的网络，可能一体化的完成中文和英文分词，词性标注，实体识别。主要包括原始文本数据，数据转换,训练脚本,预训练模型,可用于序列标注研究.注意：唯一需要实现的逻辑是将用户数据转化为序列模型。分词准确率约为93%，词性标注准确率约为90%，实体标注（在本样本上）约为85%。

This is a Platform that collects all the data accuring in your Application and shows the data in real time by using Kibana or other tools.

A log reader and management tool for Laravel

ramlog like for systemd (Put log into a ram folder)

Open Toolkit for Painless Object Detection

This is a Smart Game Foundation (Not Framework)