Search Results for "computer based exam"
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Showing 19 open source projects for "computer based exam"
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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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OpenBLAS
Optimized BLAS library based on GotoBLAS2 1.13 BSD version
...Please refer to tools built under Windows using Cmake the cross-platform, open-source build system. The new build system was developed in collaboration with Kitware Inc. Machine-specific optimized BLAS libraries are available for a variety of computer architectures. These optimized BLAS libraries are provided by the computer vendor or by an independent software vendor. -
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Qwerty Learner
Words learning and English muscle memory training software
Qwerty Learner is an open-source vocabulary and typing practice application designed for people who work primarily at a keyboard. It combines word memorization with repeated English typing to strengthen accurate muscle memory. Users must retype incorrectly entered words, reducing the chance of reinforcing spelling mistakes. The application includes dictionaries for major English exams, school levels, business English, programming terms, and several language-specific APIs. Phonetic symbols... -
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VGGT-Ω
[CVPR 2026 Oral] VGGT Omega
...The repository also provides a Gradio demo that can visualize predicted cameras and depth-unprojected point clouds as a GLB scene. VGGT-Omega is best suited for researchers and developers working on 3D reconstruction, visual geometry, and image-based scene understanding. -
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SymbolicUtils.jl
Symbolic expressions, rewriting and simplification
...It lets you create, rewrite and simplify symbolic expressions, and generate Julia code from them. SymbolicUtils.jl provides various utilities for symbolic computing. SymbolicUtils.jl is what one would use to build a Computer Algebra System (CAS). If you're looking for a complete CAS, similar to SymPy or Mathematica, see Symbolics.jl. If you want to build a crazy CAS for your weird Octonian algebras, you've come to the right place. Symbols in SymbolicUtils carry type information. Operations on them propagate this information. A rule-based rewriting language can be used to find subexpressions that satisfy arbitrary conditions and apply arbitrary transformations on the matches. ... -
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Hiring Without Whiteboards
Companies that don't have a broken hiring process
Hiring-without-whiteboards is a curated list of companies and teams that avoid traditional "whiteboard" interviews, instead focusing on realistic and practical evaluation methods. In this context, "whiteboards" symbolizes outdated or unhelpful computer science trivia questions often criticized in technical interviews. The project highlights organizations that emphasize interviewing techniques more aligned with actual day-to-day work, such as collaborative problem-solving, pair programming, or take-home assignments. It encourages a shift away from brainteasers, riddles, or puzzle-based interviews, which can create unnecessary barriers for candidates. ... -
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XState
State machines and statecharts for the modern web
JavaScript and TypeScript finite state machines and statecharts for the modern web. Statecharts are a formalism for modeling stateful, reactive systems. This is useful for declaratively describing the behavior of your application, from the individual components to the overall application logic. XState is a library for creating, interpreting, and executing finite state machines and statecharts, as well as managing invocations of those machines as actors. The following fundamental computer... -
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react-native-fast-tflite
High-performance TensorFlow Lite library for React Native
...It can load and swap TensorFlow Lite models at runtime, making it useful for apps that run multiple machine learning tasks. The project supports GPU-accelerated delegates such as CoreML, Metal, and OpenGL. It is especially useful for mobile computer vision, on-device inference, and VisionCamera-based workflows that need fast local model execution. -
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TRURL
A suite of RPN calculators and a class library for Object Pascal
...Additionally, it comes with a free reusable class library (RPN Engine) as a toolbox for creating your own calculator. TRURL is an acronym for "TRURL is a Reusable Universal RPN Library". Class Libraries: • RPN Engine: Full-featured calculation engine for Pascal-based RPN calculators • Segmitator: Library for virtual seven-segment displays Applications: • TRURL A: Simple demo app for the RPN Engine • TRURL B: RPN calculator in the design of the famous calculators by Dieter Rahms for Braun • TRURL G: Desktop RPN calculator inspired by the UI of the DSKY unit of the Apollo Guidance Computer (AGC) -
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stduuid
A C++17 cross-platform implementation for UUIDs
A C++17 cross-platform single-header library implementation for universally unique identifiers, simply know as either UUID or GUID (mostly on Windows). A UUID is a 128-bit number used to uniquely identify information in computer systems, such as database table keys, COM interfaces, classes and type libraries, and many others. -
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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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Differentiable Neural Computer
A TensorFlow implementation of the Differentiable Neural Computer
The Differentiable Neural Computer (DNC), developed by Google DeepMind, is a neural network architecture augmented with dynamic external memory, enabling it to learn algorithms and solve complex reasoning tasks. Published in Nature in 2016 under the paper “Hybrid computing using a neural network with dynamic external memory,” the DNC combines the pattern recognition power of neural networks with a memory module that can be written to and read from in a differentiable way. This allows the... -
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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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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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Face Verification Experiment
Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch
face_verification_experiment is a research repository focused on experiments in face verification using deep learning. It provides implementations and scripts for testing different neural network architectures and training strategies on face recognition and verification tasks. The project is designed to help researchers and practitioners evaluate the performance of models on standard datasets and explore techniques for improving accuracy. By offering experimental setups, it enables... -
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Awesome Recurrent Neural Networks
A curated list of resources dedicated to RNN
...Provides a wide range of works and resources such as a Recurrent Neural Network Tutorial, a Sequence-to-Sequence Model Tutorial, Tutorials by nlintz, Notebook examples by aymericdamien, Scikit Flow (skflow) - Simplified Scikit-learn like Interface for TensorFlow, Keras (Tensorflow / Theano)-based modular deep learning library similar to Torch, char-rnn-tensorflow by sherjilozair, char-rnn in tensorflow, and much more. Codes, theory, applications, and datasets about natural language processing, robotics, computer vision, and much more. -
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Jumper
Fast and easy-to-use pathfinding library for grid-based games
Jumper is a pathfinding library designed for grid-based games. It aims to be fast and lightweight. It features a wide range of search algorithms, built within a clean interface with chaining features which makes it very friendly and easy to use. Jumper is written in pure Lua. Thus, it is not framework-related and can be used in any project embedding Lua code. -
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JAva DIstributed Framework provides a secure and flexible Framework for distributed grid and volunteer computing applications (separate client & server Framework). For more informations take a look at the project page http://jadif.sourceforge.net
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Clothes - sewing CAD for creation of models of clothes. Based on the new concept of the automated designing of clothes with use of parametrical model. Creates a base design of model of clothes and allows to change it depending on necessity of updating.
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