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Machine Learning Concepts · Awesome GitHub Repositories

9 repos

Awesome GitHub RepositoriesMachine Learning Concepts

Fundamental mathematical and structural principles that define how machine learning models learn and function.

Explore 9 awesome GitHub repositories matching artificial intelligence & ml · Machine Learning Concepts. Refine with filters or upvote what's useful.

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Awesome Machine Learning Concepts GitHub Repositories

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  • TheAlgorithms/Python

    TheAlgorithms/Python

    217,914GitHubView on GitHub↗

    This project is a comprehensive repository of verified computational implementations designed to serve as an educational resource for computer science and algorithmic problem solving. It provides a structured collection of code examples that cover fundamental data structures, mathematical operations, and core programmi

    Pythonalgorithmalgorithm-competitionsalgorithms-implemented
  • tensorflow/tensorflow

    tensorflow/tensorflow

    193,864GitHubView on GitHub↗

    TensorFlow is a comprehensive machine learning framework designed for the construction, training, and deployment of complex mathematical models. It utilizes a graph-based execution model that represents operations as directed acyclic graphs, enabling automatic differentiation and efficient parallel processing. The syst

    C++deep-learningdeep-neural-networksdistributed
  • huggingface/transformers

    huggingface/transformers

    156,730GitHubView on GitHub↗

    Transformers is a comprehensive library for machine learning that provides a unified interface for training, fine-tuning, and deploying transformer-based models. It supports a wide range of tasks, including text classification, language modeling, question answering, and sequence-to-sequence translation, while offering

    Pythonaudiodeep-learningdeepseek
  • godotengine/godot

    godotengine/godot

    106,855GitHubView on GitHub↗

    Godot is a comprehensive, node-based game engine designed for building interactive 2D and 3D applications. It provides an integrated development environment that utilizes a hierarchical scene system to organize objects, propagate spatial transformations, and manage lifecycle events. The engine functions as a cross-plat

    C++game-developmentgame-enginegamedev
  • Shubhamsaboo/awesome-llm-apps

    Shubhamsaboo/awesome-llm-apps

    96,116GitHubView on GitHub↗

    This repository serves as a comprehensive collection of resources, templates, and starter code for building artificial intelligence applications. It provides a centralized hub for developers to access practical implementations of common workflows, including retrieval-augmented generation pipelines and autonomous agent

    Pythonagentsllmspython
  • d2l-ai/d2l-zh

    d2l-ai/d2l-zh

    75,708GitHubView on GitHub↗

    This project is an open-source, interactive educational platform designed to teach deep learning through a comprehensive, code-first curriculum. It provides a structured learning path that covers foundational mathematics, modern neural network architectures, and practical optimization techniques, enabling practitioners

    Pythonbookchinesecomputer-vision
  • mlabonne/llm-course

    mlabonne/llm-course

    75,340GitHubView on GitHub↗

    This project is a comprehensive educational curriculum and engineering handbook focused on the lifecycle of large language models. It serves as a structured knowledge base for machine learning practitioners, covering the fundamental mathematical and architectural principles of transformer-based sequence modeling, as we

    courselarge-language-modelsllm
  • awesomedata/awesome-public-datasets

    awesomedata/awesome-public-datasets

    72,846GitHubView on GitHub↗

    This project is a community-maintained, open-access directory of high-quality public datasets. It serves as a centralized reference point for researchers, developers, and data scientists to locate reliable information sources across a wide spectrum of industries and scientific fields. By providing a structured index, t

    aaron-swartzawesome-public-datasetsdatasets
  • josephmisiti/awesome-machine-learning

    josephmisiti/awesome-machine-learning

    71,702GitHubView on GitHub↗

    This project is a comprehensive, community-driven directory of machine learning resources, software libraries, and educational materials. It serves as a centralized knowledge base for developers and researchers, organizing tools and frameworks by their primary programming language and technical domain to simplify disco

    Python

Explore sub-tags

  • AI Conceptual Research1 sub-tagTheoretical research and conceptual frameworks exploring the societal and technical narratives surrounding artificial intelligence.
  • Domain-Specific Modeling1 sub-tagSpecialized modeling approaches tailored to solve specific problems within distinct fields like computer vision.
  • Kernel Regression MethodsNon-parametric techniques for estimating the conditional expectation of a random variable using kernel functions.
  • Network Architectures and Layers
8 sub-tags
  • Regularization Techniques2 sub-tagsMethods used to prevent overfitting in machine learning models by penalizing complexity or introducing noise.
  • Training and Optimization5 sub-tags