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.
Awesome Optimization Algorithms GitHub Repositories
We'll search the best matching repositories with AI.
- jwasham/coding-interview-university
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
Master the mathematical foundations of objective function optimization and constraint satisfaction essential for algorithmic problem solving.
algorithmalgorithmscoding-interview - TheAlgorithms/Python
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
Resolve objective functions under linear constraints to determine the most efficient resource distribution.
Pythonalgorithmalgorithm-competitionsalgorithms-implemented - d2l-ai/d2l-zh
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
Features implementations of adaptive moment estimation to optimize stochastic objective functions.
Pythonbookchinesecomputer-vision - Developer-Y/cs-video-courses
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
Bundles academic resources that explain the mathematical methods used to optimize machine learning models.
algorithmsbioinformaticscomputational-biology - ultralytics/yolov5
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
Configures mathematical methods to adjust parameters and minimize loss functions during deep learning training.
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.