Search Results for "optimization"
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Showing 41 open source projects for "optimization"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Atera - an All-in-one platform for IT managementYour IT essentials, integrated & elevated. Take your IT management from automated to autonomous, download Atera's agent to start your free trial!
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Open Source Vizier
Python-based research interface for blackbox
Open Source (OSS) Vizier is a Python-based interface for blackbox optimization and research, based on Google’s original internal Vizier, one of the first hyperparameter tuning services designed to work at scale. Allows a user to setup an OSS Vizier Server, which can host black-box optimization algorithms to serve multiple clients simultaneously in a fault-tolerant manner to tune their objective functions. -
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ReactJS Interview Questions
List of top 500 ReactJS Interview Questions & Answers
...The repository is designed as a preparation resource for developers preparing for interviews involving React, Redux, React Router, React Native, and related JavaScript technologies. It covers a broad spectrum of topics, from the fundamentals of React components and state management to advanced concepts like hooks, performance optimization, and design patterns. The project also extends into practical integration topics, such as working with APIs and handling routing. Future updates plan to add coding exercises, making the resource even more hands-on for learners. With contributions from the developer community, it serves as a practical guide for interview readiness and continuous skill-building. -
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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. ... -
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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golang101
Programming explanation and instruction book focusing on Go syntax
...The current series includes "Go Language (Basic Knowledge) 101" is a programming guide book ( e-book download ) that focuses on Go syntax and semantics (except custom generics) and runtime-related knowledge points. "Go Custom Generics 101" introduces in detail all aspects of Go custom generics. "Go Programming Optimization 101" lists some performance optimization tips and suggestions in some Go programming. "Go Details and Tips 101" collects many details and tips in Go programming (e-book download). This series of books is suitable for both Go beginners and experienced Go programmers. Hope they can help Go programmers understand Go language more deeply and comprehensively. -
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LLM Course
Course to get into Large Language Models (LLMs)
...Learners get exposure to multiple adaptation strategies—LoRA/QLoRA, instruction fine-tuning, and alignment techniques—so they can choose approaches that fit their hardware and budgets. The materials also cover inference optimization and quantization to make serving LLMs feasible on commodity GPUs or even CPUs, which is crucial for side projects and startups. Evaluation is treated as a first-class topic, with examples of automatic and human-in-the-loop methods to catch regressions and verify quality beyond simple loss values. By the end, students have a mental model and a practical toolkit for iterating on datasets, training configs, etc. -
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Rust Training Books
Beginner, advanced, expert level Rust training material
Rust Training Books is a comprehensive educational repository created to teach developers the Rust programming language through structured lessons, exercises, and practical examples. It is designed to guide learners from basic concepts such as ownership and borrowing to more advanced topics like concurrency, performance optimization, and system-level programming. The material emphasizes hands-on learning, encouraging users to actively write and experiment with code rather than passively reading documentation. It reflects Rust’s core philosophy of safety and performance, helping developers understand how to write efficient and memory-safe applications. The repository is organized in a modular way, allowing learners to progress step by step while reinforcing concepts through exercises and real-world scenarios. ... -
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Rust Course
It has been the world's most popular language for 8 consecutive years
...The course is carefully designed with a structured catalog, vivid and approachable language, and an engaging style that avoids the dry and mechanical tone of many technical books. It covers the basics of Rust, such as ownership, borrowing, lifetimes, traits, and generics, but also dives deep into advanced topics like performance optimization, linked list implementations, async programming with Tokio, standard library internals, Cargo usage, and WebAssembly development. The project emphasizes practical learning through exercises, helping users approach Rust study as if it were a university course. It also provides a "Cookbook" section of practical code snippets for common tasks such as file operations, regex handling, and database interactions, allowing learners to quickly reference solutions without searching externally. -
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Frevo
Frevo is probably the simplest tool for evolutionary design
FREVO is an open-source framework developed in Java to help engineers and scientists in evolutionary design or optimization tasks. The major feature of FREVO is the componentwise decomposition and separation of the key building blocks for each optimization tasks. We identify these as the problem definition, solution representation and the optimization method. This structure enables the components to be designed separately allowing the user to easily swap and evaluate different configurations and methods or to connect an external simulation tool. ... -
Your monitoring isn't a stack. It's a pile. Fix that.Replace Datadog, New Relic, and Sentry without adding three more dashboards.
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MathMod
MathMod is a mathematical modeling software
...Change-log for MathMod-13.0 (15/11/2025) 1) Scripts generator to add thickness to iso/parametric surfaces 2) Undo/Redo commands for navigating through previous scripts 3) New scripts, Bug-fixes, code optimization and documentation update For a complete list of changes made during the course of development, please visit: https://github.com/users/parisolab/projects/2 -
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Think Python 2
LaTeX source and supporting code for Think Python, 2nd edition
ThinkPython2 is the repository for the second edition of Allen Downey’s Think Python textbook, which teaches programming fundamentals in Python to beginners. The code includes all of the example programs, exercises, and supplementary files referenced in the book, allowing learners to run the examples, experiment, and extend them. The repository contains clean, well-commented Python scripts that are easy to follow and map directly to chapters of the text, covering topics like variables,... -
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...The activation of this patch is available from mathmodconfig.js ("OpenGlConfig"-->"GL_FrontFacingSupport"=false) or the GUI("Appearance"-->"OpenGL Front Surface Support") 5) Bug-fixes, code optimization and documentation update.
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Object-oriented crystallographic library and program, for the analysis of Crystal structures from scattering experiments: optimized scattering computation, Graphical interface for structures and data, global optimization algorithms.
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JQM Java Quine McCluskey
JQM - Java Quine McCluskey for minimization of Boolean functions.
Java Quine McCluskey (JQM) implements the Quine-McCluskey algorithm with Petrick’s Method for minimizing Boolean functions. Designed for both education and industrial application, it handles up to 16 variables and functions. Uniquely, JQM bridges the gap between theory and practice: it visualizes the solution process with generated Karnaugh Maps for students, while supporting PLC engineers by exporting results to Structured Text (ST) and Ladder Diagram (LD). The software includes a GUI for... -
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PRIMA
PRIMA is a package for solving general nonlinear optimization problems
PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. PRIMA means Reference Implementation for Powell's methods with Modernization and Amelioration, P for Powell. PRIMA is a package for solving general nonlinear optimization problems without using derivatives. -
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Open Biblio
Personnal / small library books management tool
...This tool allows you to follow the loan of the books and other statistics. This project is a fork from the openbiblio project hosted at http://openbiblio.sourceforge.net/ which is apparently no longer active. It adds improvements and optimization with respect to its ancestor. OpenBiblio is a Web application written in PHP 5. It has been tested on Linux Ubuntu with Apache 2 and MySQL 5. OpenBiblio should be able to run under windows without major modifications (at most some file paths). -
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PLP_Solvers
Library of solvers for work in Science, Engineering & Education
...Library Contents: High Precision Computation, Numerical Calculus, Complex Analysis, Geometry, Linear Algebra, Special Functions, Differential Equations, Transformations, Optimization & Interpolation, Statistics, Physics ... (12,538 functions in v23.06 package) Knowledge of any programming language is not required. Only Windows port is available. -
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Reinforcement Learning Methods
Simple Reinforcement learning tutorials
...The project also includes demo scripts that visualize learning curves and allow students to observe policy improvement over training iterations. By using TensorFlow as the backbone, it highlights practical considerations such as tensor shapes, loss computation, optimization steps, and batching in an RL context. -
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ePnR
ePnR is an IC block standard cell placement & routing tool
...Standard cells are described in a simple text based library (compliant with eLogSim). Placement follows initially the cell call order in the SPICE like circuit input netlist. However, a placement optimization, aiming at minimum weighted accumulated wire length, by simulated annealing is available. Routing consists of channel routing as first step. If un-routed connections are left, Maze routing can (optionally) be applied. ePnR does not guarantee completely finished routing. However, un-routed connections will be left with rubberband connections and marked start and end points for subsequent manual routing using a third party layout editor. ePnR outputs in CIF 2.0 and GDS stream format readable by e.g. the free KLayout editor. -
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Deep Learning course
Slides and Jupyter notebooks for the Deep Learning lectures
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris. This course is being taught at as part of Master Year 2 Data Science IP-Paris. Note: press "P" to display the presenter's notes that include some comments and additional references. This lecture is built and maintained by Olivier Grisel and Charles Ollion. -
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Deep Learning 500 Questions
500 Questions on Deep Learning using a question-and-answer format
...Later chapters explore classic neural network structures such as CNNs, RNNs, and GANs, as well as key applications in computer vision like object detection and image segmentation. The resource also delves into optimization methods, including transfer learning, network architecture design, hyperparameter tuning, model compression, and acceleration techniques. -
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SLAMBook-en
The English version of 14 lectures on visual SLAM
...Within the repository you’ll find organized subfolders (e.g. chapters, latex, resources) containing the lecture contents, references, figures, and supporting assets for each part of the course. The material covers both foundational theory—geometry, camera models, feature matching, pose estimation—and practical systems components such as optimization, map representation, loop closure, and real-time factors. It aims to bridge academic rigor with hands-on implementation: readers are encouraged to implement algorithms, read code, and follow along with the mathematical derivations and system design decisions. -
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freefq tutorials
Companion repository to the freefq project
freefq/tutorials is a companion repository to the freefq project that focuses on educational content, providing step-by-step guides and walkthroughs for setting up, using, and troubleshooting various proxy and VPN tools with the freefq lists. While the proxy lists themselves are raw configurations, this tutorials repo contextualizes them for users who may be unfamiliar with client setup, encryption options, or platform-specific considerations like mobile vs desktop environments. It typically... -
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DeepLearning
Deep Learning (Flower Book) mathematical derivation
...It is edited by three world-renowned experts, Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Includes linear algebra, probability theory, information theory, numerical optimization, and related content in machine learning. At the same time, it also introduces deep learning techniques used by practitioners in the industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling and practical methods, and investigates topics such as natural language processing, Applications in speech recognition, computer vision, online recommender systems, bioinformatics, and video games. ... -
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A symbolic framework for C++, Python and Octave implementing automatic differentiation by source code transformation in forward and reverse modes on sparse matrix-valued computational graphs.
