Showing 421-440 of 818 projects
SAM is a PyTorch-based library that implements Sharpness-Aware Minimization, an optimization algorithm for training more robust deep learning models.
A FinOps and cloud cost optimization tool that supports major cloud providers and Kubernetes.
A Python library for physical symbolic optimization, combining deep learning and reinforcement learning.
Distributed GPU-accelerated framework for evolutionary computation and optimization algorithms.
A fast and optimized zlib replacement library for next-generation systems.
An open-source HTML rendering library written in C, optimized for speed and performance.
This repository provides a comprehensive guide on optimizing MySQL performance and solving common database problems.
Yoast SEO is a comprehensive WordPress plugin that provides advanced search engine optimization features.
Automatic font fallback library based on font metrics, optimized for web performance.
EPUB to audiobook converter, optimized for Audiobookshelf, with a web-based user interface.
This repository provides Jupyter notebooks for learning about Bayesian methods for machine learning.
A Node.js library for minifying PNG, JPEG, GIF, and SVG images, useful for optimizing assets in web projects.
A collection of optimized TensorFlow binaries with SIMD instructions for improved performance.
A Python library for portfolio optimization using scikit-learn and convex optimization techniques.
Recipes for shrinking, optimizing, and customizing cutting-edge computer vision models.
Optimized argument parsing for Rust code size
A repository for building and optimizing efficient penetration testing dictionaries and fuzzing tools.
PyPSA is a Python library for power system analysis, focused on capacity expansion planning and renewable energy integration.
A Python library for learning the fundamentals of machine learning and deep learning from scratch.
A fast, thread-safe HashMap implementation in Golang optimized for high-performance use cases.
Get weekly updates on trending AI coding tools and projects.