Search Results for "computer time tracker"
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Showing 32 open source projects for "computer time tracker"
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Computer Science Flash Cards
Mini website for testing both general CS knowledge and enforce coding
This repository collects concise flash cards that cover the core ideas of a traditional computer science curriculum with a focus on interview readiness. The cards distill topics like time and space complexity, classic data structures, algorithmic paradigms, operating systems, networking, and databases into short, testable prompts. They are designed for spaced-repetition style study so you can cycle frequently through fundamentals until recall feels automatic. -
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PrimeNG
The most complete Angular UI component library
...Choose from a variety of options including material and bootstrap design. Professionally designed highly customizable native Angular CLI application templates to get you started in no time. Fully accessible and in compliance with Section 508 standards. With the exclusive services of Pro account, you no longer need to post your questions in the community forum and your issues to community issue tracker. Allocate your valuable time on business logic rather than dealing with the complex user interface requirements. -
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DeltaForce-OBS-Locker
Delta Action OBS Lock Plugin
DeltaForce-OBS-Locker is a research-oriented repository around OBS-based computer vision experiments for the game Delta Force. The project includes desktop and mobile components and discusses image recognition, rendering capture, simulated input, and real-time detection ideas. Its README states that a YOLOv14-based real-time object detection framework was integrated into the desktop side for visual recognition experiments. -
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YOLOv9
Learning What You Want to Learn Using Programmable Gradient Info
...The project introduces Programmable Gradient Information and the GELAN architecture to improve gradient flow, parameter efficiency, and train-from-scratch performance. It provides scripts and model assets for training, testing, and running inference on detection tasks. YOLOv9 is designed for real-time detection scenarios where both accuracy and efficiency matter. It is especially relevant for researchers and engineers comparing next-generation YOLO architectures or building production computer vision systems. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Learning-SICP
Collection of Chinese cultural projects and course learning materials
Learning-SICP is a community project that localizes the MIT course “Structure and Interpretation of Computer Programs” (SICP) and curates complementary study materials for learners, especially Chinese-speaking Scheme/Lisp students. It focuses on translating the official lecture subtitles into Chinese while preserving the original English content for reference, providing an approachable path to a classic foundational course in computer science. -
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Apollo-11
Original Apollo 11 Guidance Computer (AGC) source code
Apollo-11 hosts the original Apollo 11 Guidance Computer (AGC) source code for the Command Module and Lunar Module, faithfully transcribed from historical listings. It is written in AGC assembly and reflects 1960s software engineering practices, complete with comments from the original programmers. The code is both a cultural artifact and a technical reference, illustrating how limited memory and processor constraints shaped algorithms and system design. Developers can examine navigation... -
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Lightweight' GAN
Implementation of 'lightweight' GAN, proposed in ICLR 2021
...You can test and see how your images will be augmented before they pass into a neural network (if you use augmentation). The general recommendation is to use suitable augs for your data and as many as possible, then after some time of training disable the most destructive (for image) augs. You can turn on automatic mixed precision with one flag --amp. You should expect it to be 33% faster and save up to 40% memory. Aim is an open-source experiment tracker that logs your training runs, and enables a beautiful UI to compare them. -
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ESP8266Audio
Arduino library to play MOD, WAV, FLAC, MIDI, RTTTL, MP3
Arduino library for parsing and decoding MOD, WAV, MP3, FLAC, MIDI, AAC, and RTTL files and playing them on an I2S DAC or even using a software-simulated delta-sigma DAC with dynamic 32x-128x oversampling. ESP8266 is fully supported and most mature, but ESP32 is also mostly there with built-in DAC as well as external ones. For real-time, autonomous speech synthesis, check out ESP8266SAM, a library that uses this one and a port of an ancient format-based synthesis program to allow your ESP8266 to talk with low memory and no network required. All this code is released under the GPL, and all of it is to be used at your own risk. If you find any bugs, please let me know via the GitHub issue tracker or drop me an email. ... -
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Venom
Venom is the most complete javascript library for Whatsapp
...It's a high-performance alternative API to whatzapp, you can send, text messages, files, images, videos and more. Remember, the API was developed on a platform called RESTful Web services, providing interoperability between computer systems on the Internet. It uses a set of well-defined operations that apply to all information resources, HTTP itself defines a small set of operations, the most important being post, get, put and delete. Use it in your favorite language like PHP, Python, C# and others. as long as your language is supported with the HTTP protocol, you will save time and money. you don't need to know how Venom works, we have the complete API documentation, in a professional way! -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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huihut interview
A summary of C/C++ technical interview basics
...Many entries include both the problem statement and one or more reference implementations, offering insights into time/space complexity and tradeoffs between competing strategies. It’s organized to be approachable whether you’re a student preparing for your first internship or an experienced engineer brushing up on fundamentals before a big interview round. -
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[OFFICIAL] tinyfiledialogs C C++ v3.21.3
inputbox password WIN OSX GTK QT Console VCPKG C# Lua R Fortran Pascal
one C/C++ file & header ==> 8 functions: - beep - tray notify popup - message & question - input & password - save file - open file(s) - select folder - color picker complements OpenGL Vulkan GLFW GLUT GLUI VTK SFML TGUI SDL Ogre Unity3d ION OpenCV CeGui MathGL GLM CPW GLOW Open3D ImGui MyGui GLT NGL STB Nuklear Fenster MicroUi & head-less programs NO INIT NO MAIN LOOP NO LINKING NO INCLUDE win (XP to 11) ASCII MBCS UTF-8 UTF-16 (wchar_t) - native dialogs osx/unix... -
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Cindy components for Delphi 7 and newer
Packages with more than 80 components for all delphi versions
Packages with 86 components for all delphi versions (since D7) to build Windows 32/64 bit applications: VCL controls (labels, buttons, panels, Edits, TabControls, StaticText) with features like background gradient, colored bevels, wallpaper, shadowText, caption orientation etc... TcyCommunicate and TcyCommRoomConnector allows communication between applications running in same computer session. TcySearchFiles and TcyCopyfiles allow respectively search and copy files with pause/resume/abort features. TcyResizer allow move and resize components at run-time like delphi 2009 does. Advanced DB Express components (tested with mySQL) for easy table data handling (tcyDbxTable or TcyDbxSimpleTable), schema modifications (TcyDbxUpdateSql), reconcile handling (TcyDBXReconcileError) and table creation (cyDbxImportDataset1). ... -
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Sandia Cyber Omni Tracker
Sandia Cyber Omni Tracker (SCOT)
SCOT is an open-source cybersecurity incident response and threat intelligence management system developed by Sandia National Laboratories. It centralizes alert collection, facilitates team collaboration, and enriches data with automated analysis, enhancing the efficiency and effectiveness of security operations teams. -
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Darknet
Convolutional Neural Networks
...Its simplicity, combined with powerful capabilities, has made Darknet one of the most influential projects in the computer vision community. -
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Official YOLOv7
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art
YOLOv7 is the official implementation of the paper “YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors.” It is a PyTorch-based object detection project focused on high speed and strong accuracy for real-time computer vision. The repository provides model definitions, training scripts, testing tools, inference examples, pretrained weights, and deployment-oriented materials. YOLOv7 introduced training-time improvements that raise accuracy without increasing inference cost, which is why the project became important in real-time detection research. ... -
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Real Time Rendering 4th
Collection of <Real-Time Rendering 4th (RTR4)> Bibliography
The Real Time Rendering 4th Bibliography Collection project is an extensive curated bibliography that complements the fourth edition of the Real-Time Rendering book. It aggregates research papers, articles, and references related to computer graphics and real-time rendering techniques. The collection is organized by topic, allowing users to explore areas such as lighting, shading, geometry, and rendering pipelines. -
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Differentiable Neural Computer
A TensorFlow implementation of the Differentiable Neural Computer
...This allows the model to learn how to store and retrieve information across long time horizons, much like a traditional computer. The architecture consists of modular components including an access module for managing memory operations, a controller (often an LSTM or feedforward network) for issuing read/write commands, and submodules for temporal linkage and memory allocation tracking. -
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Issues for GitHub
Just a place to track issues and feature requests
isaacs/github is an archived repository created primarily as a personal issue and feature request tracker related to the GitHub platform rather than a traditional software library. The project was used by its author to collect feedback, bug reports, and enhancement ideas in a centralized public location. It is explicitly not the source code for GitHub itself and serves more as a community discussion space. Over time, the repository became read only and deprecated as official feedback channels evolved. ... -
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YOLO ROS
YOLO ROS: Real-Time Object Detection for ROS
This is a ROS package developed for object detection in camera images. You only look once (YOLO) is a state-of-the-art, real-time object detection system. In the following ROS package, you are able to use YOLO (V3) on GPU and CPU. The pre-trained model of the convolutional neural network is able to detect pre-trained classes including the data set from VOC and COCO, or you can also create a network with your own detection objects. The YOLO packages have been tested under ROS Noetic and... -
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General catalogue of e-books
Collection of e-books (multiple disciplines, including download links)
...The repository is organized into categories that help users discover books on specific topics such as operating systems, databases, networking, and artificial intelligence, making exploration easier than manually searching the web. Contributors update the list over time to add new entries or improve organization, helping keep the catalog relevant as the technical landscape evolves. -
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TrackersListCollection
A list of popular BitTorrent Trackers
...Because trackers can go offline or degrade over time, the daily refresh schedule is crucial for maintaining a high-quality list. The repo also includes metadata and mirrors to handle international usage and multiple download sources. For people who use torrent infrastructure, ensure peers connect reliably, or want to automate external tracker lists for aria2 or other clients, this is a practical and well-maintained source. -
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OpenPose
Real-time multi-person keypoint detection library for body, face, etc.
OpenPose has represented the first real-time multi-person system to jointly detect human body, hand, facial, and foot keypoints (in total 135 keypoints) on single images. It is authored by Ginés Hidalgo, Zhe Cao, Tomas Simon, Shih-En Wei, Yaadhav Raaj, Hanbyul Joo, and Yaser Sheikh. It is maintained by Ginés Hidalgo and Yaadhav Raaj. OpenPose would not be possible without the CMU Panoptic Studio dataset. We would also like to thank all the people who has helped OpenPose in any way. 15, 18 or... -
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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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Face-Detection-JavaScript
Small browser-based computer vision demo
Face-Detection-JavaScript is a small browser-based computer vision demo that uses JavaScript and face-api.js to analyze live webcam video. It loads face detection, facial landmark, face recognition, and facial expression models from a local models folder. Once the webcam stream starts, the app creates a canvas overlay and draws detection results directly over the video feed. It can identify face boxes, map facial landmark points, and display detected expressions in near real time. ... -
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SFD
S³FD: Single Shot Scale-invariant Face Detector, ICCV, 2017
...It includes training scripts, evaluation code, and pre-trained models that achieve strong results on popular benchmarks such as AFW, PASCAL Face, FDDB, and WIDER FACE. The framework is optimized for speed and accuracy, making it suitable for both academic research and practical applications in computer vision.