6291 Open source projects that are alternatives of or similar to Machine Learning Numpy

A day to day plan for this challenge. Covers both theoritical and practical aspects

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Plain python implementations of basic machine learning algorithms

Machine Learning Concepts with Concepts

Make a pull request. Let's hack the ocktober in an innovative way.

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

Matlab library for gradient descent algorithms: Version 1.0.1

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

Boltzmann Machines in TensorFlow with examples

Make a sweet giant triangle confusogram (GTC) plot

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

The repository provides usefull python scripts for ML and data analysis

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

The "Python Machine Learning (1st edition)" book code repository and info resource

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

Reinforcement learning with A* and a deep heuristic

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

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

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Bayesian Data Analysis demos for Python

Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

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

machine learning

This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms

Fast and Easy Infinite Neural Networks in Python

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

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

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

A high performance implementation of HDBSCAN clustering.

Log Anomaly Detection - Machine learning to detect abnormal events logs

A repo with tutorials for algorithms from scratch

👩🏻‍⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)

Machine Learning notebooks for refreshing concepts.

A repository to keep track of all the code that I end up writing for my blog posts.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

Six snippets of code that made deep learning what it is today.

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

Introduction to Data Science

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ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Information about my experiences on ethical hacking 💀

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

Learn advanced data science on real-life, curated problems

R package to interface with OpenML

This repo will contain the resources available in my blog for learning