Search Results for "human" - Page 23
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Showing 1455 open source projects for "human"
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PyTTI-Notebook
PyTTI-Notebook
Recent advances in machine learning have created opportunities for “AI” technologies to assist unlocking creativity in powerful ways. PyTTI is a toolkit that facilitates image generation, animation, and manipulation using processes that could be thought of as a human artist collaborating with AI assistants. The underlying technology is complex, but you don’t need to be a deep learning expert or even know coding of any kind to use these tools. Understanding the underlying technology can be extremely helpful to leveraging it effectively, but it’s absolutely not a pre-requisite. You don’t even need a powerful computer of your own: you can play with this right now on completely free resources provided by google. ... -
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Model Search
Framework that implements AutoML algorithms
Model Search is an AutoML research system for discovering neural network architectures with minimal human intervention. Instead of hand-crafting models, you define a search space and objectives, then the system explores candidate architectures using controllers and population-based strategies. It supports multiple tasks (such as vision or text) by letting you express reusable building blocks—layers, cells, and topologies—that the search can recombine. -
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What happens when
What happens when you type google into your browser and press enter?
What happens when is a large collaborative documentation-style project that aims to answer in exhaustive detail the canonical interview/thought experiment question, “What happens when you type google into your browser and press Enter?” Rather than giving a high-level overview, the repository tries to break down every step in the process, from low-level events (keyboard press, OS events, keyboard interrupts), through OS-level handling (keyboard scan codes, key events), parsing, DNS lookup,... -
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Hello World Extensions
Hello World reference extensions for K-Meleon
You will find "Hello World" reference extensions in the "Files" tab of this project. K-Meleon has 3 main types of extensions: Macros are simple, human-readable extensions that any user can modify or even create in a text editor. You can open the macro folder from K-Meleon by selecting "Edit - Configuration - Macros" in the menu. They use the ".kmm" file extension. K-Meleon Extensions are .7z archives that can be extracted directly into the K-Meleon root folder or installed with the K-Meleon Extension Manager. ... -
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Perceptron
The birth of modern video feedback art.
...Perceptron * recursively transforms images and video streams in realtime and produces a combination of Julia fractals, IFS fractals, and chaotic patterns due to video feedback * evolves geometric patterns into the realm of infinite details and deepens the thought * records animations (movies) * saves and opens presets (state files) * loads user photographs or captures screen and webcam input * has user interface based on multiple mouse cursors, and almost the entire keyboard * has multiple windows and fullscreen mode * takes complex geometric transforms as input * applies numerous coloring techniques * smoothly transforms fractals and creates endless psychedelic journeys * resonates with the human perception Visit the Perceptron home page at http://perceptron.sourceforge.net -
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VQGAN-CLIP web app
Local image generation using VQGAN-CLIP or CLIP guided diffusion
...Searching the r/deepdream subreddit for VQGAN-CLIP yields quite a number of results. Basically, VQGAN can generate pretty high-fidelity images, while CLIP can produce relevant captions for images. Combined, VQGAN-CLIP can take prompts from human input, and iterate to generate images that fit the prompts. Thanks to the generosity of creators sharing notebooks on Google Colab, the VQGAN-CLIP technique has seen widespread circulation. However, for regular usage across multiple sessions, I prefer a local setup that can be started up rapidly. Thus, this simple Streamlit app for generating VQGAN-CLIP images on a local environment. ... -
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Grade School Math
8.5K high quality grade school math problems
...These aren’t trivial exercises — many require multi-step reasoning, combining arithmetic operations, and handling intermediate steps (e.g. “If she sold half as many in May… how many in total?”). The problems are written by human authors (not automatically generated) to ensure linguistic variety and realism. The repository maintains strict formatting (e.g. JSONL) for problem + answer pairs, and is used broadly in research to benchmark model performance under “word problem” settings. Issues are tracked (people report incorrect problems, ambiguous statements), and contributions are possible for cleaning or expanding the set. -
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Record matching software
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Robust Video Matting (RVM)
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX
...This significantly improves our model's robustness. Our method does not require any auxiliary inputs such as a trimap or a pre-captured background image, so it can be widely applied to existing human matting applications. RVM is specifically designed for robust human video matting. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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UE Viewer
Viewer and exporter for Unreal Engine 1-4 assets
...Currently, all engine versions (from 1 to 4) are supported. We are using our own build system to compile UE Viewer. You may find a Perl script in Tools/genmake. This script generates makefiles from some human-friendly project format. After that you may build generated makefile using 'nmake' for Visual Studio or 'make' for gcc. -
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Jarvis Python AI Assistant
Python AI assistant
Jarvis is a voice commanding assistant service in Python 3.8 It can recognize human speech, talk to user and execute basic commands. Opens a web page (e.g 'Jarvis open youtube') Play music in Youtube (e.g 'Jarvis play mozart') Increase/decrease the speakers master volume (also can set max/mute speakers volume) (e.g 'Jarvis volume up!') Opens libreoffice suite applications (calc, writer, impress) (e.g 'Jarvis open calc') Tells about something, by searching on the internet (e.g 'Jarvis tells me about oranges') Tells the weather for a place (e.g 'Jarvis tell_the_skills me the weather in London') Tells the current time and/or date (e.g 'Jarvis tell me time or date') Set an alarm (e.g 'Jarvis create a new alarm') Tells the internet speed (ping, uplink and downling) (e.g 'Jarvis tell_the_skills me the internet speed') Tells the internet availability (e.g 'Jarvis is the internet connection ok?') ... -
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OfficeLife
OfficeLife is the first EmpOps platform
OfficeLife is the first EmpOps platform. It manages everything employees do in a company. From projects to holidays to 1:1s to teams. Companies spend an awful lot of time and money on choosing, setting up and maintaining all those tools. However, how can you know if an employee is performing well if you have only one angle of the overall situation? If you use software that manages OKR, you would only have one side of the story at the end of the year. If you want to understand the complete... -
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PascalSCADA is a set of components (framework) for Delphi/Lazarus to make easy the development of industrial applications (HMI=Human Machine Interface/SCADA=System Control And Data Acquisition). It runs on Windows, Linux and FreeBSD.
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MITRE Annotation Toolkit
A toolkit for managing and manipulating text annotations
The MITRE Annotation Toolkit (MAT) is a suite of tools which can be used for automated and human tagging of annotations. Annotation is a process, used mostly by researchers in natural language processing, of enhancing documents with information about the various phrase types the documents contain. MAT supports both UI interaction and command-line interaction, and provides various levels of control over the overall annotation process. -
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Rhasspy
Offline private voice assistant for many human languages
Rhasspy (ˈɹæspi) is an open-source, fully offline set of voice assistant services for many human languages that works well with Hermes protocol-compatible services (Snips.AI), Home Assistant and Hass.io, Node-RED, Jeedom, OpenHAB. Rhasspy will produce JSON events that can trigger action in home automation software, such as a Node-RED flow. Rhasspy comes with a snazzy web interface that lets you configure, program, and test your voice assistant remotely from your web browser. -
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CVAssistant
Smart Resume Creator and Job Application Organizer
CV Assistant helps you create specialized resumes in Word .docx format fast and easy. The idea is to have a master resume with all skills and experiences in it. Then based on skills mentioned in the job advertisement, export a clean but well formatted word .docx file as a summarized resume with only relevant skills in it. This increases your chance of getting a job interview as most companies are using Applicant Tracking Software (ATS) or at best hiring managers which may be unaware of... -
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bluray_info
Display information about a Blu-ray disc
Console application to display information about a Blu-ray disc in human-friendly or JSON output. -
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Perceptual Similarity Metric and Dataset
LPIPS metric. pip install lpips
While it is nearly effortless for humans to quickly assess the perceptual similarity between two images, the underlying processes are thought to be quite complex. Despite this, the most widely used perceptual metrics today, such as PSNR and SSIM, are simple, shallow functions, and fail to account for many nuances of human perception. Recently, the deep learning community has found that features of the VGG network trained on ImageNet classification has been remarkably useful as a training loss for image synthesis. But how perceptual are these so-called "perceptual losses"? What elements are critical for their success? To answer these questions, we introduce a new dataset of human perceptual similarity judgments. ... -
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DreamTime
Use artificial intelligence to create images
...Vitamined with editing tools for any case, you can also make the process fully automatic. Powerful working method that allows you to edit the algorithm step by step and obtain results that only a human could achieve. -
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aseryla
Aseryla code repositories
This project describes a model of how the semantic human memory represents the information relevant to the objects of the world in text format. It provides a system and a GUI application capable of extracting and managing concepts and relations from English texts. https://aseryla2.sourceforge.io/ -
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GazeParser
Gaze tracking, parsing and visualization tools
The aim of the GazeParser is to provide a free environment to record and analyze human eye movements. -
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DouZero
[ICML 2021] DouZero: Mastering DouDizhu
DouZero is a reinforcement learning-based AI for playing DouDizhu, a popular Chinese card game. It focuses on perfecting AI strategies for competitive play using value-based deep RL techniques. -
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Pytago
A source-to-source transpiler for Python to Go translation
pytago is a source-to-source transpiler that converts some Python into human-readable Go. It enables developers to translate Python codebases into Go, facilitating migration or interoperability between the two languages. -
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MVSE
Estimator of climate-driven, mosquito-borne viral suitability index
...The package estimates a suitability index based on a climate-driven mathematical expression for the basic reproductive number (R0). By accounting for local climatic variables, as well as viral, vector and human priors, suitability can be estimated for specific regions, hosts, vectors and viral species. MVSE v0.3 and v1.01r are available for download in this repo. UPDATE Oct/2021: note that a correction has been made to the documentation of v1.01r. The most recent version is the file "MVSE_v1.01r_corrections_to_documentation.zip". ... -
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DensePose
A real-time approach for mapping all human pixels of 2D RGB images
DensePose is a computer vision system that maps all human pixels in an RGB image to the 3D surface of a human body model. It extends human pose estimation from predicting joint keypoints to providing dense correspondences between 2D images and a canonical 3D mesh (such as the SMPL model). This enables detailed understanding of human shape, motion, and surface appearance directly from images or videos.