Machine Learning Examples Github. In this article, we explore some of the best GitHub repositories

In this article, we explore some of the best GitHub repositories for learning and applying ML concepts, categorized by skill level and focus area. GitHub Gist: instantly share code, notes, and snippets. csv, data set of selling products of a Dec 12, 2019 · Please note that these are just the code examples accompanying the book, which we uploaded for your convenience; be aware that these notebooks may not be useful without the formulae and descriptive text. Welcome to mlxtend's documentation! Mlxtend (machine learning extensions) is a Python library of useful tools for the day-to-day data science tasks. These collections often include tutorials, guides, and source code, so you can follow along, learn by doing, and even run the original code if you get stuck. In this GitHub repo, we provide samples which will help you get started with ML. MLJ (Machine Learning in Julia) is a toolbox written in Julia providing a common interface and meta-algorithms for selecting, tuning, evaluating, composing and comparing over 200 machine learning models written in Julia and other languages. Join over 50 million people choosing Codecademy to start a new career (or advance in their current one). In this tutorial, you'll learn how to create a basic workflow that is triggered by a push event. The code in this repository shows how to use imgaug to create thousands of augmented images for training machine learning models. NET to build custom machine learning solutions and integrate them into your . Reuse trained models like BERT and Faster R-CNN with just a few lines of code. A beginner-friendly collection of machine learning projects and exercises from Great Learning. That’s where curated GitHub repositories come in, they provide direct links to real-life projects in data science, automation, machine learning, web development, and more. Classification aims to predict the class or category of a given input based on labeled examples or historical data. For example, an image classifier produces a class label (e. Also Download Open Datasets on 1000s of Projects + Share Projects on One Platform. Welcome to the world's largest container registry built for developers and open source contributors to find, use, and share their container images. Applications of machine learning. me Find associated courses at https://deeplearningcourses. This repository is designed for those new to machine learning, featuring simple and clear implementations of fundamental concepts and algorithms. Best practices for showcasing your work on GitHub, personal websites, and beyond. The first part provides a framework for developing trading strategies driven by machine learning (ML). Some of the practical applications you will learn from this book are how to: - Construct a simulated agent that plays games without any instructions, and watch it learn to play on databricks-ml-examples is a repository to show machine learning examples on Databricks platforms. Checkout now. Take the next step by downloading or find additional resources You can use the built-in examples in Azure Machine Learning designer to quickly get started building your own machine learning pipelines. py 190818: Principal component analysis example with breast cancer data-set. Please note that not all code from all courses will be found in this repository. All examples are self-contained and can be run independently. jl package is an umbrella package for components distributed in a number of other packages. Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker. The examples will be somewhat ordered, however the main purpose is to ensure a single location to refer to from multiple blogposts, articles and presentations. Jan 18, 2021 · Top 5 Unknown Machine Learning Models Repository On Github To Help You Through Your Data Science Projects (Includes links to Repository on Github) TensorFlow is a free and open-source software Apr 16, 2020 · This example shows you how to run your TensorFlow training scripts at scale using Azure Machine Learning’s TensorFlow estimator class. GitHub is where people build software. Colab is used extensively in the machine learning community with applications including: Getting started with TensorFlow Developing and training neural networks Experimenting with TPUs Disseminating AI research Creating tutorials To see sample Colab notebooks that demonstrate machine learning applications, see the machine learning examples below. It groups containers that make up an application into logical units for easy management and discovery. Build, collaborate, and innovate faster with seamless Git and gateway integrations. Discover TensorFlow's flexible ecosystem of tools, libraries and community resources. Each repository includes example codes, tutorials, and guides to help you learn by doing and expand your portfolio with impactful, real-world projects. Sep 10, 2025 · Discover 25+ machine learning projects on GitHub with source code for beginners and experts. NET apps. Therefore, you should check the instructions given in the lectures for the course you are taking. - GitHub - aws/amazon-sagemaker-examples: Example 📓 Jupyter notebooks Note: All code is available on Github This Jupyter Notebook provides basic examples of supervised and unsupervised machine learning algorithms using scikit-learn. - GitHub - aws/amazon-sagemaker-examples: Example 📓 Jupyter notebooks Introduction This repo shows an E2E training and deployment pipeline with Azure Machine Learning's CLI. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Image augmentation is a quick way to improve accuracy for an image classification or object detection model without having to manually acquire more training images. Some examples demonstrate the use of the API in general and some demonstrate specific applications in tutorial form. Build & Share Delightful Machine Learning Apps Apart from being very easy to use, one thing that I simply love about @Gradio is its Javascript client, which makes it easy to build a nice HTML frontend for Python applications. For more info, please visit Azure Machine Learning CLI documentation. - GitHub - huggingface/t TensorFlow is an end-to-end open source platform for machine learning. Dec 17, 2025 · Reinforcement Machine Learning Example: An AI agent learning to play chess gets positive feedback for good moves and negative for poor ones. Used in production by multiple companies. The goal is to learn a mapping function that maps input features to a discrete output class label. A collection of machine learning examples and tutorials. Machine Learning Examples This repository contains a number of, primarily, Python based examples of machine learning code. Packt Publishing, 2019 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. Over time, it learns strategies to win more often. Welcome to the Machine Learning Practicals repository! 🎯 This repo contains well-explained, beginner-friendly examples of both Supervised and Unsupervised learning techniques — along with the datasets, code, and clear, understandable comments so you can follow along easily. NET developers. Build, push and pull. Learn the technical skills to get the job you want. Currently this repository contains: llm-models/: Example notebooks to use different State of the art (SOTA) models on Databricks. Minimal and Clean Reinforcement Learning Examples. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. py, LassoandLin. ML packages that are currently available. Explore Docker Desktop, what it has to offer, and its key features. 9 hours ago · The most trusted GitHub repositories to help you master coding interviews, system design, backend engineering, scalability, data structures and algorithms, and machine learning interviews with confidence. ML project is a collection of packages built to target the Bonsai-Rx ecosystem, providing reactive infrastructure for machine learning operations. In this free and interactive online course you’ll learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches. Follow key practices, avoid errors, and stay ahead in 2025 trends. Flexible Data Ingestion. Jan 9, 2026 · PyTorch Foundation is the deep learning community home for the open source PyTorch framework and ecosystem. 270918: RidgeandLin. The Azure Machine Learning designer GitHub repository contains detailed documentation to help you understand some common machine learning scenarios. W3Schools offers free online tutorials and references on web development languages such as HTML, CSS, JavaScript, PHP, SQL, and JQuery. Kubernetes, also known as K8s, is an open source system for automating deployment, scaling, and management of containerized applications. For example, the /p5js folder holds examples of using ml5. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models. It includes 55 exercises featuring videos, slide decks, multiple-choice questions and interactive coding practice in the browser. New Convert your markdown to HTML in one easy step - for free! Essential machine learning algorithms, concepts, examples and visualizations. a host of comprehensive sports datasets for research, analysis, data modeling, data-visualization, predictions, machine-Learning etc In a customer-support message, GitHub stated that "training machine learning models on publicly available data is considered fair use across the machine learning community", [25] but the class action lawsuit called this "false" and additionally noted that "regardless of this concept's level of acceptance in 'the machine learning community Train a computer to recognize your own images, sounds, & poses. Sep 10, 2024 · machine_learning_examples:机器学习实例与教程集锦 machine_learning_examples是GitHub上一个非常受欢迎的机器学习开源项目,由知名机器学习讲师和博主lazyprogrammer创建和维护。 该项目汇集了大量机器学习相关的示例代码和教程,是学习和实践机器学习的绝佳资源。 项目概述 Jan 31, 2023 · Data scientists and machine learning engineers frequently use GitHub, therefore it would be valuable for you to know how it operates. Machine learning Guide. Dec 27, 2025 · Discover top 10 GitHub machine learning repositories to explore in 2025 to become an ML and Data Science expert. Python Machine Learning, 3rd Ed. The MLJ. Kubernetes builds upon 15 years of experience of running production workloads at Google, combined with best-of-breed ideas and practices from the community Discover data applications for production with Plotly. This is the gallery of examples that showcase how scikit-learn can be used. Here are some of most common reinforcement learning algorithms: Q-learning: Learns the best action for each state based on expected rewards. MLU-Explain MLU-EXPL AI N Visual explanations of core machine learning concepts Machine Learning University (MLU) is an education initiative from Amazon designed to teach machine learning theory and practical application. Unify API design, testing, documentation, and monitoring in one platform. A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications. - lazyprogrammer/machine_learning_examples In this article, we will review 10 GitHub repositories that feature collections of machine learning projects. Contribute to rlcode/reinforcement-learning development by creating an account on GitHub. Sep 19, 2023 · An open source machine learning library for research and production. py: Lasso and Ridge regression examples. ML - Examples repo, we provide example workflows, datasets, and demos for how to get started using the suite of Bonsai. For descriptions and more check the Wiki Page. NET. This GitHub community will provide you with access to valuable resources, learn from other users, as well as ask questions and be part of an inspirational community. The second half of the book explores subfields of machine learning, like natural language processing, computer vision, reinforcement learning, and network science. These projects are hand-picked based on their educational value, community support, documentation quality, and real-world applicability. A convolutional neural network, or CNN for short, is a type of classifier, which excels at solving this problem! The Bonsai. Contribute to ruohaiweb/machine-learning-example development by creating an account on GitHub. The text is released under the CC-BY-NC-ND license, and code is released under the MIT license. It focuses on the data that power the ML algorithms and strategies discussed in this book, outlines how to engineer and evaluates features suitable for ML models, and how to manage and measure a portfolio's performance while executing a Filenames are preceded by DDMMYY. The code for each course is separated 🚗 Car Mileage Prediction System – End-to-End Machine Learning Project I recently completed an end-to-end Machine Learning regression project that predicts: • 🏙 City mileage • ⚖ Essential machine learning algorithms, concepts, examples and visualizations. . Jul 22, 2025 · GitHub offers the perfect playground: real code, working projects, datasets, and best practices in action. For more information, see here. This website contains the full text of the Python Data Science Handbook by Jake VanderPlas; the content is available on GitHub in the form of Jupyter notebooks. NET is a cross-platform open-source machine learning framework that makes machine learning accessible to . This integration makes me rank gradio high in my list of favorite Python libraries. Machine learning examples. Jan 30, 2025 · This blog has sample GitHub machine learning projects ideas that you should try out if you are a beginner searching for machine learning projects on Github. What is a Convolutional Neural Network? In machine learning, a classifier assigns a class label to a data point. In the Bonsai. Configure and estimate the costs for Azure products and features for your specific scenarios. TensorFlow Hub is a repository of trained machine learning models ready for fine-tuning and deployable anywhere. About This Repository The azureml-examples repository contains examples and tutorials to help you learn how to use Azure Machine Learning (Azure ML) services and features. In this guide, we explore the 7 Best GitHub Machine Learning Projects to Boost Your Skills. Put data and AI into action with scalable, interactive data apps for your organization. May 6, 2025 · How to select appropriate ML projects for your target roles. g. An end-to-end open source machine learning platform for everyone. Classification and clustering are two important types of machine learning techniques, but they differ in their goals and methods. Battle-tested Wins many data science and machine learning challenges. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. This example requires some familiarity with Azure Pipelines or GitHub Actions. scikit-learn: machine learning in Python. PCA_Muller. Popular machine learning algorithms from scratch. - ageron/handson-ml3 Machine Learning Become an ML pro with immersive courses & projects designed by industry experts. As part of that goal, MLU-Explain exists to teach important machine learning concepts through visual essays in a fun, informative, and accessible manner. Dec 19, 2024 · The following tutorials help you understand how to use ML. If you find this content useful, please consider supporting the work by buying the book! These notes accompany the Stanford CS class CS231n: Deep Learning for Computer Vision. Find associated tutorials at https://lazyprogrammer. 081018: bank. databricks/databricks-ml-examples is a repository to show machine learning examples on Databricks platforms. Mar 9, 2025 · 20+ Hands-On AI & Machine Learning Projects with Source Code [2025] Looking to dive deep into the world of Artificial Intelligence and Machine Learning? Whether you’re just getting started or sharpening your skills, this list of 20+ exciting projects will guide you through some of the most fascinating applications of AI. ML. Machine Learning projects with source code - Machine Learning projects for beginners, ML projects for final year college students, machine learning projects - beginner to advanced - data-flair/mach Feb 26, 2025 · Python machine learning scripts. llm-fine-tuning/: Fine tuning scripts and notebooks to fine tune State of the art (SOTA) models on Databricks. Feb 26, 2025 · Python machine learning scripts. Dec 3, 2025 · Mermaid on Github Examples. Some newer code examples (e. js with p5. A fast, easy way to create machine learning models for your sites, apps, and more – no expertise or coding required. 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained - trekhleb/homemade-machine-learning A collection of machine learning examples and tutorials. com Please note that not all code from all courses will be found in this repository. NET applications: Sentiment analysis: Apply a binary classification task using ML. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. js. Raschka, Sebastian, and Vahid Mirjalili. Libraries are loaded through a Content Delivery Network (CDN) and certain examples (indicated in code comments) download a machine learning model from a “cloud” url. g, bird, plane) for what objects exist within an image. Whether you're just starting or sharpening your ML chops, these 10 repositories will Mar 29, 2025 · GitHub is a treasure trove of ML projects, tutorials, and tools that can help both beginners and advanced practitioners sharpen their skills. NET and how to infuse ML into existing and new . Contribute to scikit-learn/scikit-learn development by creating an account on GitHub. The blog covers machine learning courses, bootcamps, books, tools, interview questions, cheat sheets, MLOps platforms, and more to master ML and secure your dream job. For questions/concerns/bug reports, please submit a pull request directly to our git repo. 0) were done in Google Colab. Inspirational GitHub examples that exemplify strong project structure and presentation. most of Tensorflow 2.

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