Search Results for "loop linux"
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Showing 17 open source projects for "loop linux"
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Slambook2
edition 2 of the slambook
slambook2 is the updated companion codebase for the second edition of 14 Lectures on Visual SLAM: From Theory to Practice. It preserves the chapter-by-chapter learning structure while revising examples for newer systems and libraries. The repository teaches the mathematical and programming foundations required to understand visual SLAM implementations. Its C++ exercises cover geometry, Lie theory, cameras, image processing, optimization, visual odometry, mapping, and loop closure. Chapter... -
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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. Defines abstractions and utilities for implementing new optimization algorithms for... -
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OpenScience
The open-source AI workbench for scientific research
OpenScience is an open-source AI workbench for scientific research. It lets users give an agent a research goal, then have it read literature, form hypotheses, write and run code, run experiments, analyze results, and write up findings. The workspace runs in the browser and includes a file tree, editor, terminal, session history, and scientific rendering for molecules, structures, genomes, and plots. It supports frontier, open-weight, and local models through bring-your-own-key provider... -
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Growth Lab
An end-to-end growth tool that understands the product
Growth Lab is an open-source agentic growth workspace that connects product understanding, market research, execution, measurement, and iteration. It uses Codex or Claude Code as the runtime and treats natural-language conversations as the control surface. Collectors gather product, market, content, and channel evidence, while executor skills help create, publish, review, and coordinate growth work. Each growth model follows an observe-act-review loop and keeps persistent memory of evidence,... -
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SLAM in Autonomous Driving Book
SLAM Technology in Autonomous Driving
SLAM in Autonomous Driving Book is the open-source code companion to the book SLAM in Autonomous Driving. It focuses on localization and mapping systems that combine LiDAR, IMU, GNSS, and vehicle motion data. The material begins with geometry, kinematics, Kalman filtering, inertial navigation, preintegration, and graph optimization. It then implements point-cloud processing, nearest-neighbor structures, ICP, NDT, scan matching, occupancy grids, and loop closure. Readers build both loosely... -
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LLM Course
Course to get into Large Language Models (LLMs)
LLM Course is a hands-on, notebook-driven path for learning how large language models work in practice, from data curation to training, fine-tuning, evaluating, and deploying. It emphasizes reproducible experiments: each step is demonstrated with runnable code, clear dependencies, and references to commonly used open-source models and libraries. Learners get exposure to multiple adaptation strategies—LoRA/QLoRA, instruction fine-tuning, and alignment techniques—so they can choose approaches... -
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SPINA
Structure parameter inference approach for endocrine feedback control
SPINA is software for the rapid, reliable and accurate determination of constant structure parameters of endocrine feedback control systems. It is a class of static function tests that require nothing more than steady-state concentrations of hormones or metabolites obtained in vivo. The first version of this cybernetic approach had been developed for the evaluation of the functional status of the thyroid gland, i.e. thyroid's secretory capacity (gain of thyroid, GT or SPINA-GT) and sum... -
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Lisp Koans
Common Lisp Koans is a language learning exercise
Lisp Koans is a self-guided learning path for Common Lisp that teaches the language’s idioms through a series of failing tests you progressively make pass. Each koan introduces a concept—symbols, lists, macros, multiple dispatch, reader syntax—then asks you to fill in the blanks and run the suite again. The feedback loop is intentionally tight: fail, reflect, fix, and rerun until the tests become a form of living documentation. Because koans are organized from fundamentals to... -
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Catalyst
Accelerated deep learning R&D
...It allows you to write compact but full-featured Deep Learning pipelines with just a few lines of code. With Catalyst you get a full set of features including a training loop with metrics, model checkpointing and more, all without the boilerplate. Catalyst is focused on reproducibility, rapid experimentation, and codebase reuse so you can break the cycle of writing another regular train loop and make something totally new. Catalyst is compatible with Python 3.6+. PyTorch 1.1+, and has been tested on Ubuntu 16.04/18.04/20.04, macOS 10.15, Windows 10 and Windows Subsystem for Linux. ... -
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jstutorial
Javascript tutorial book
This repository is a comprehensive, tutorial-style guide to JavaScript that walks readers from the language’s fundamentals to practical application in the browser and on the server. It explains core concepts like values and types, scope, functions, objects, and prototypes in a clear, example-driven style that favors short, readable snippets. The material steadily introduces modern features—modules, arrow functions, classes, destructuring, promises, and async/await—while relating them back to... -
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SLAMBook-en
The English version of 14 lectures on visual SLAM
This project is the English version of “14 Lectures on Visual SLAM: From Theory to Practice,” a text and teaching resource about visual simultaneous localization and mapping (SLAM). It provides the full LaTeX source (formerly Markdown) for all 14 chapters, letting readers compile and study the material systematically. Within the repository you’ll find organized subfolders (e.g. chapters, latex, resources) containing the lecture contents, references, figures, and supporting assets for each... -
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Essential Netty in Action
It is a book about the Essentials of Norman Maurer's Netty in Action
Essential Netty in Action is a Chinese-language condensed guide based on an early edition of Norman Maurer's Netty in Action. It was created to help developers learn the framework more quickly through selected explanations and added diagrams. The material is organized into getting started, Netty by example, core functions, and advanced topics. It explains asynchronous networking concepts, channels, event loops, pipelines, handlers, bootstrapping, codecs, and transport behavior. Practical... -
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Control Interface Victor 86C, Voltcraft
Control Voltcraft Power Supply and Victor 86C Multimeter
ANNOUNCEMENT Project has moved to a proprietary website! http://www.instruman.it Updated source code available at https://instruman.codeplex.com/ This is an interface used to program and control Voltcraft DPPS-32-15 Power Supply, and to log data from Victor 86C Multimeter. It's an all-in-one solution to use the two instruments at the same time for Scientific, Research and Study purposes. Features avaible are the following: -Victor 86C USB HID connection protocol -86C data reading... -
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Based on boost. Thread:mutex-condition queue and map,ACE style thread and Glib style thread pool, loop task. Memory:memory pool. COM:COM object invocation. Language:compiler lexical and grammar analysis. Network:epoll reactor.
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Practical tool to help students to deeply understand the classical programming methodology based on specifications, loop invariants, and decomposition into subproblems.
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This project is an OO-centric design of getopts, based on the standard python implementation of getopts. C-style loop calling of getopts is not OO and does not take advantage of Java's standard library.
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This project deals with the implementation of a set of components for the simulation of "visual servoing" systems with Matlab and Simulink. Visual servoing is the direct control of robots with vision, i.e., visual features are used in the control loop.
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