Search Results for "optimization" - Page 5
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Showing 1232 open source projects for "optimization"
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Manifolds.jl
Manifolds.jl provides a library of manifolds
Package Manifolds.jl aims to provide both a unified interface to define and use manifolds as well as a library of manifolds to use for your projects. This package is mostly stable, see #438 for planned upcoming changes. The implemented manifolds are accompanied by their mathematical formulae. The manifolds are implemented using the interface for manifolds given in ManifoldsBase.jl. You can use that interface to implement your own software on manifolds, such that all manifolds based on that... -
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RuboCop Performance
An extension of RuboCop focused on code performance checks
Performance optimization analysis for your projects, as an extension to RuboCop. You need to tell RuboCop to load the Performance extension. Now you can run rubocop and it will automatically load the RuboCop Performance cops together with the standard cops. You need to tell RuboCop to load the Performance extension. Now you can run rubocop and it will automatically load the RuboCop Performance cops together with the standard cops. -
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Citron Neo
Research software designed to orchestrate virtual environments
Citron Neo is an advanced emulator project focused on replicating complex system environments with high performance and flexibility. It is designed to emulate modern console behavior while integrating improvements in CPU emulation, GPU rendering, and memory management. The project incorporates optimizations such as dynamic recompilation and Vulkan-based rendering to enhance performance across supported platforms. It also includes continuous updates that improve compatibility with games and... -
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LLaMA-Factory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
LLaMA-Factory is a fine-tuning and training framework for Meta's LLaMA language models. It enables researchers and developers to train and customize LLaMA models efficiently using advanced optimization techniques. -
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xlswriter
PHP Extension for creating and reader XLSX files
PHPExcel has been unable to work properly for memory reasons at 40,000 and 100000 points, but it can be resolved by modifying the ini configuration, but the time may take longer to complete the work. xlswriter is a PHP C Extension that can be used to write text, numbers, formulas and hyperlinks to multiple worksheets in an Excel 2007+ XLSX file. -
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AutoAgent AI
Autonomous harness engineering
...It operates through a loop of testing, analyzing failures, and refining the agent’s configuration to maximize a scoring metric. The framework uses a single-file agent harness combined with structured tasks and evaluation suites to guide optimization. It runs inside Docker for safe execution and reproducibility. This approach shifts agent development from manual design to automated optimization. The system is particularly useful for building domain-specific agents that need continuous performance improvement. -
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LingBot-Map
A feed-forward 3D foundation model for reconstructing scenes
LingBot-Map is a specialized project focused on mapping conversational or linguistic interactions within chatbot or AI-driven systems, providing a structured way to visualize and organize dialogue flows. It is designed to help developers understand how conversations evolve across different states, enabling better debugging and optimization of chatbot behavior. The system emphasizes mapping relationships between intents, responses, and transitions, creating a clear representation of conversational logic. It can be particularly useful in complex chatbot systems where multiple branches and conditions need to be managed effectively. The project supports extensibility, allowing developers to adapt the mapping system to different chatbot frameworks or AI models. ... -
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CopyTranslator
Foreign language reading and translation assistant
Copy-and-translate foreign language assisted reading and translation solution. Just copy the text to the clipboard, you can view the translation results in the next second. Solve the problem of garbled codes caused by redundant sentence breaks and line breaks, and the translation results are more in line with reading habits. Infinitely close to the system-level open source implementation of translating, drag and drop to select and copy the translation. With the update of CopyTranslator, the... -
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Robyn
Experimental, AI/ML-powered and open sourced Marketing Mix Modeling
...Robyn takes in historical data (spends on different marketing channels, conversions, or revenue, and optional context or organic-media variables) and uses a combination of techniques, regularized regression (Ridge), time-series decomposition (trend, seasonality, holiday effects), and hyperparameter optimization (via evolutionary algorithms), to estimate the incremental impact of each marketing channel. It explicitly models “carry-over” (adstock) and diminishing-returns (saturation) effects per channel, enabling realistic modeling of how advertising persists over time and saturates. -
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nlvm
LLVM-based compiler for the Nim language
nlvm is an LLVM-based compiler for the Nim programming language, aiming to leverage LLVM's optimization capabilities for improved performance. -
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NVIDIA Profile Inspector
Modify game profiles inside the internal driver database
NVIDIA Profile Inspector is a specialized utility that allows users to view and modify hidden graphics driver settings within NVIDIA’s internal profile database, providing deeper control than the official NVIDIA Control Panel. It exposes advanced and undocumented configuration options that can influence rendering behavior, performance optimization, and compatibility for specific games. Users can create, edit, and assign profiles for individual applications, enabling fine-grained tuning of GPU behavior beyond standard settings. The tool is particularly popular among enthusiasts who want to optimize performance, troubleshoot graphical issues, or enable experimental features such as custom DLSS configurations. ... -
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Freqtrade
Free, open source crypto trading bot
...Example strategies to inspire you are available in the strategy repository. Download historical data of the exchange and the markets you may want to trade with. Find the best parameters for your strategy using hyper optimization which employs machining learning methods. -
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xLUA
xLua is a lua programming solution for C#
...The most representative of these aspects are C# implementation (methods, operators, attributes, events, etc.) can be replaced with Lua implementation at runtime; excellent GC optimization, custom struct, enumeration transfer between Lua and C# without C# gc alloc; and there is no need to generate code under the editor, and the development is lighter. Open the zip package, and you will see an Assets directory, which corresponds to the Assets directory of the Unity project. Keep this directory structure and put it in your Unity project. ... -
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Avogadro 2
Avogadro libraries provide 3D rendering, visualization, and analysis
AvogadroLibs is the core C++ library behind Avogadro 2, an open-source molecular editor and visualization platform used in chemistry, materials science, and education. It provides the essential tools for constructing, analyzing, and visualizing molecular structures in 2D and 3D. Designed for extensibility, AvogadroLibs supports plugins for quantum chemistry computations, molecular mechanics, and surface rendering. It interfaces with multiple chemistry formats and data sources, making it a... -
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fe-advanced-interview
A Guide to Advanced Front-End Interviews
fe-advanced-interview is a comprehensive front-end engineering interview preparation repository focused on advanced web development concepts, system design, and real-world technical problem solving. The project compiles high-level interview questions and explanations covering JavaScript internals, browser rendering, networking, performance optimization, frameworks, architecture, and engineering best practices. Unlike beginner-focused interview guides, it emphasizes deeper understanding of how front-end technologies work internally and how large-scale applications are designed and maintained. The repository is structured as a learning resource for experienced developers preparing for senior engineering interviews at major technology companies. ... -
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GEO Content Writer
Backlog-row-first content production system for teams
...The tool is particularly useful for businesses targeting local markets or region-specific audiences. It integrates into broader SEO pipelines, allowing content generation to be part of a continuous optimization process. Overall, GEO Content Writer enables scalable, AI-driven content creation tailored for modern search ecosystems. -
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dive-into-llms
"Dive into LLMs" series of practical programming tutorials
...It includes code samples, tutorials, and conceptual breakdowns that bridge the gap between academic research and real-world implementation. The project also highlights best practices for working with LLMs, including prompt design and optimization strategies. By focusing on clarity and depth, it serves as both a teaching tool and a reference for developers. Overall, dive-into-llms provides a structured and practical approach to mastering modern language model technology. -
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J2CL
Java to Closure JavaScript transpiler
...It allows developers to write applications in Java while targeting web environments, enabling strong type safety and code reuse across platforms. Unlike monolithic frameworks, J2CL focuses purely on transpilation, leaving optimization, bundling, and runtime concerns to the broader toolchain, which provides flexibility in modern development workflows. The generated JavaScript is fully type-safe and can be aggressively optimized by the Closure Compiler to reduce code size and improve performance. J2CL is widely used internally at Google in large-scale applications such as Gmail and Google Docs, demonstrating its production readiness and scalability. ... -
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autoresearch-win-rtx
AI agents running research on single-GPU nanochat training
autoresearch-win-rtx is a Windows-based implementation of the autoresearch framework designed to run autonomous AI research loops on consumer NVIDIA RTX GPUs. It adapts the original autoresearch concept to a Windows environment, enabling users to perform iterative machine learning optimization without requiring specialized Linux or data center setups. The system revolves around a small set of core files, including a training script that is continuously modified by an AI agent, along with supporting utilities for data preparation and evaluation. Experiments are executed within a fixed time budget, ensuring consistent benchmarking across iterations and allowing the agent to focus on incremental improvements. ... -
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xiaohongshu-ops
Turn Openclaw into a Xiaohongshu operations assistant
xiaohongshu-ops-skill is a curated repository focused on operational strategies, growth techniques, and content optimization practices for the Xiaohongshu platform, also known as RED, which is widely used for social commerce and influencer marketing. Unlike traditional software projects, it functions as a structured knowledge base that compiles actionable insights for content creators, marketers, and businesses aiming to grow their presence on the platform. -
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Andrew NG Notes Collection
This is Andrew NG Coursera Handwritten Notes
Andrew-NG-Notes is a repository that provides comprehensive study notes for Andrew Ng’s widely known machine learning course. The project summarizes the key topics covered in the course, including supervised learning, neural networks, optimization algorithms, and model evaluation techniques. The notes aim to simplify complex mathematical explanations by organizing concepts into clear sections with diagrams, formulas, and concise descriptions. Each chapter mirrors the structure of the course curriculum, allowing students to review the material in a systematic way while following along with the lectures. ... -
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Deep Learning Interviews book
Hundreds of fully solved job interview questions
...The project was created to help students, researchers, and engineers prepare for machine learning and deep learning interviews by providing structured explanations of key concepts. The repository organizes problems across topics such as neural networks, optimization, probabilistic models, and mathematical foundations of machine learning. Each question is accompanied by detailed solutions that explain the reasoning behind the answers and the theoretical concepts involved. In addition to interview preparation, the material also serves as a condensed overview of many core topics taught in graduate-level machine learning programs. -
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Steam Deck Guide
Learn all about the Tools, Accessories, Games, Emulators
The Steam Deck Guide repository is a community-driven resource aimed at helping users get the most out of their Valve Steam Deck — covering everything from initial configuration and system tweaks to performance optimization, emulation workflows, game compatibility, and hardware customization. It begins with basic setup topics like installing updates, connecting peripherals, and configuring SteamOS settings, then progresses into intermediate skills such as managing storage, optimizing battery life, and fine-tuning performance profiles for demanding titles. ... -
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TechCPP
C++ learning and interview guide aimed at back-end systems developers
...It gathers frequently asked concepts and deep dives—value categories (lvalue/rvalue), perfect forwarding, casts, memory models, atomics, and more—into a structured, readable format. The material goes beyond syntax to discuss performance, optimization techniques, and how standard library containers are implemented under the hood. You’ll also find practical debugging and tooling advice, such as using gdb to diagnose deadlocks or reasoning about concurrency primitives. The repository organizes topics so you can quickly locate weak spots before interviews or brush up for day-to-day coding. ... -
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Deep Learning Is Nothing
Deep learning concepts in an approachable style
Deep-Learning-Is-Nothing presents deep learning concepts in an approachable, from-scratch style that demystifies the stack behind modern models. It typically begins with linear algebra, calculus, and optimization refreshers before moving to perceptrons, multilayer networks, and gradient-based training. Implementations favor small, readable examples—often NumPy first—to show how forward and backward passes work without depending solely on high-level frameworks. Once the fundamentals are clear, the material extends to CNNs, RNNs, and attention mechanisms, explaining why each architecture suits particular tasks. ...
