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Optimization Algorithms · Awesome GitHub Repositories

5 repos

Awesome GitHub RepositoriesOptimization Algorithms

Mathematical methods used to update model parameters and minimize loss functions during the training of deep learning models.

Explore 5 awesome GitHub repositories matching artificial intelligence & ml · Optimization Algorithms. Refine with filters or upvote what's useful.

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  2. Artificial Intelligence & ML
  3. Artificial Intelligence & Machine Learning
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  5. Optimization Algorithms

Awesome Optimization Algorithms GitHub Repositories

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  • jwasham/coding-interview-university

    jwasham/coding-interview-university

    337,188GitHubView on GitHub↗

    This project is a comprehensive educational roadmap designed to guide software engineers through the mastery of computer science fundamentals and technical interview preparation. It provides a structured, dependency-aware learning path that organizes complex computing concepts into a hierarchical curriculum, enabling u

    algorithmalgorithmscoding-interview
  • 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
  • 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
  • Developer-Y/cs-video-courses

    Developer-Y/cs-video-courses

    74,064GitHubView on GitHub↗

    This project is a community-driven educational repository that serves as a comprehensive directory of university-level computer science video lectures. It provides a structured learning path for students and professionals, aggregating high-quality academic resources to facilitate self-paced study across a wide range of

    algorithmsbioinformaticscomputational-biology
  • ultralytics/yolov5

    ultralytics/yolov5

    56,830GitHubView on GitHub↗

    YOLOv5 is a comprehensive computer vision framework designed for end-to-end deep learning, specializing in real-time object detection, image classification, and instance segmentation. It provides a unified toolkit that manages the entire lifecycle of a model, from initial dataset configuration and hyperparameter tuning

    Pythoncoremldeep-learningios

Explore sub-tags

  • AdaGrad OptimizersAdaptive gradient descent algorithms that adjust learning rates based on parameter frequency.
  • Adam OptimizersAdaptive Moment Estimation algorithms for gradient-based optimization of stochastic objective functions.
  • Adaptive Learning Rate OptimizersOptimization algorithms that adjust learning rates based on parameter updates.
Gradient Descent Algorithms
Iterative optimization algorithms that update model parameters by moving in the direction of the negative gradient.
  • Linear ProgrammingAlgorithms used to optimize objective functions by solving problems subject to specific linear constraints.
  • Momentum OptimizersOptimization techniques that accelerate gradient descent by accumulating a moving average of past gradients to navigate complex loss landscapes.
  • RMSProp OptimizersAdaptive learning rate optimization algorithms that maintain a moving average of squared gradients.