660 Open source projects that are alternatives of or similar to Machine Learning Models

🏆 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.

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.

Variational Bayes linear and logistic regression

Python Clustering Algorithms

This is the implementation of Sparse Projection Oblique Randomer Forest

A curated list of data mining papers about fraud detection.

A PureScript, browser-based implementation of simple linear regression.

A python library to build Model Trees with Linear Models at the leaves.

🍊 📊 💡 Orange: Interactive data analysis

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。

经典机器学习算法的极简实现

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

Machine learning for C# .Net

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

My main Machine Learning class

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

Python implementation of Andrew Ng's ML course projects

Misc Statistics and Machine Learning codes in R

文本分类基准测试

🏭 JavaScript Machine Learning Toolkit

Deep Learning From Scratch

A set of machine learning experiments in Clojure

An Interactive Approach to Understanding Supervised Learning Algorithms

ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

Go Scoring API for PMML

Tracking, notes and programming snippets while learning predictive analytics

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

A python library for decision tree visualization and model interpretation.

PHP-ML - Machine Learning library for PHP

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

Machine Learning University: Decision Trees and Ensemble Methods

Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera

For extensive instructor led learning

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

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

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

Implementing machine learning algorithms from scratch.

An Interactive Approach to Understanding Deep Learning with Keras

Learning to create Machine Learning Algorithms

YouTube Like Count Predictions using Machine Learning

🙄 Difficult algorithm, Simple code.

Stochastic Delta Rule implemented in Pytorch on DenseNet

🎨 A k-means color scheme generator.

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

Explore high-dimensional datasets and how your algo handles specific regions.

Keras implementation of video classifier

🎓 Tidy tools for academics

StellarGraph - Machine Learning on Graphs

随机森林，Random Forest（RF）

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

Absolute balanced kdtree for fast kNN search.

A simply budget app that predicts where the expenses are being made

✌️ 👌 ✊ 📷 Sign Language Recognition using Python

HMM based on KMeans and GMM

A PyTorch implementation of OpenAI's REPTILE algorithm

golang package to find the K most dominant/prominent colors in an image

Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures

AIXIjs - General Reinforcement Learning in the Browser