Search Results for "image" - Page 30
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Showing 1099 open source projects for "image"
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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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99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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Steganograph
Hide your text message's inside a image
This software let's you hide text message's inside a image . -
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aioulinux
Linux for Arduino and Makers developers
Hello, I'm the Aioulinux founder, eager to professionally revive the project. Since 2018, the demand for an IoT and Arduino-tailored environment has been evident. Seeking partners for a 2024 version targeting schools and IoT companies, aiming for a secure and comprehensive platform. If you share this vision and wish to collaborate, reach out. Let's revive Aioulinux stronger than ever! Now seeking partners: Live Distro Specialist: Expert in live distributions to ensure... -
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MIPPY
Modular Image Processing in Python
MIPPY is a minimalistic DICOM image browser with built-in image processing modules. Its modular design means it can be extended with any number of user-created modules for image processing and analysis. -
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PiHass
Pre-defined and easy to use Home-Assistant Image for raspberry pi
This is a Raspbain Strech base image with Home-Assistant on it. i used Virtual Env based installation and added some Custom Ui and Custom Components. i have also configured MySQL server and database and also some scripts, sensors and groups to help users start working with the system. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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DIGITS
Deep Learning GPU training system
The NVIDIA Deep Learning GPU Training System (DIGITS) puts the power of deep learning into the hands of engineers and data scientists. DIGITS can be used to rapidly train the highly accurate deep neural network (DNNs) for image classification, segmentation and object detection tasks. DIGITS simplifies common deep learning tasks such as managing data, designing and training neural networks on multi-GPU systems, monitoring performance in real-time with advanced visualizations, and selecting the best performing model from the results browser for deployment. ... -
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MultiBootUSB
Create multiboot live Linux on a USB disk
MultiBootUSB is a cross platform* software/utility to create multi boot live Linux on a removable USB disk. It is similar to UNetbootin but many distros can be installed, provided you have enough space on the disk. MultiBootUSB also provides an option to uninstall distro(s) at any time, if you wish. -
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Face Recognition
World's simplest facial recognition api for Python & the command line
Face Recognition is the world's simplest face recognition library. It allows you to recognize and manipulate faces from Python or from the command line using dlib's (a C++ toolkit containing machine learning algorithms and tools) state-of-the-art face recognition built with deep learning. Face Recognition is highly accurate and is able to do a number of things. It can find faces in pictures, manipulate facial features in pictures, identify faces in pictures, and do face recognition on a... -
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EvalAI
Evaluating state of the art in AI
...EvalAI lets participants submit code for their agent in the form of docker images which are evaluated against test environments on the evaluation server. During the evaluation, the worker fetches the image, test environment, and model snapshot and spins up a new container to perform the evaluation. -
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FastPhotoStyle
Style transfer, deep learning, feature transform
FastPhotoStyle is a deep learning-based image stylization framework designed to transfer the style of one photograph onto another while preserving photorealistic quality. Unlike traditional artistic style transfer methods that produce painterly outputs, this approach focuses on maintaining realistic textures, lighting, and spatial consistency. The method is based on a two-step process that includes a stylization phase followed by a smoothing operation, ensuring that the output image remains coherent and free of visual artifacts. ... -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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PyCryptImg
CLI image text encryption using python
Simple python program to encrypt up to 255 character text into .png or .bmp images. VIEW the README for further instructions as well as image specifications. Used pyinstaller to compile into an .exe ---Feedback is welcome --- -
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Siamese and triplet learning
Siamese and triplet networks with online triplet mining in PyTorch
...These types of networks learn to map images into a compact feature space where the distance between vectors reflects the similarity between inputs. Such embeddings are commonly used in applications like face recognition, image similarity search, and few-shot learning. The repository demonstrates how to train these models using contrastive loss and triplet loss functions, which encourage embeddings of similar samples to be close while pushing dissimilar samples farther apart. It includes data loaders, training scripts, neural network architectures, and evaluation metrics that allow researchers to experiment with different embedding learning strategies. ... -
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Image classification models for Keras
Keras code and weights files for popular deep learning models
All architectures are compatible with both TensorFlow and Theano, and upon instantiation the models will be built according to the image dimension ordering set in your Keras configuration file at ~/.keras/keras.json. For instance, if you have set image_dim_ordering=tf, then any model loaded from this repository will get built according to the TensorFlow dimension ordering convention, "Width-Height-Depth". Pre-trained weights can be automatically loaded upon instantiation (weights='imagenet' argument in model constructor for all image models, weights='msd' for the music tagging model). ... -
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multibootusb
Create multi boot live Linux on a USB disk...
Multi Boot USB / MultiBoot USB / MultiBootUSB is a software / installer which allows user to install multiple Live Linux Distros in to a single USB drive / Pendrive / Flash drive and able to boot from it. USB can be tested without reboot using inbuilt QEMU. -
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WeChat Jump Game
WeChat "Jump Jump" Python Assist
WeChat Jump Game is a Python automation project for the WeChat mini game “Jump Jump.” It uses screenshots, image recognition, and distance estimation to calculate how long the screen should be pressed for each jump. The project was created as a technical experiment around a popular 2.5D timing game where the character must jump from one platform to another. It supports automatic play, allowing the script to detect positions and control jumps through connected-device tooling. -
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WidgetArea
WidgetArea is a small simple application that enables you to use image
WidgetArea is a small simple application that enables you to use images on your hard drive and display them as widgets on your desktop. NOTE: WidgetArea doesn't fully support GIF animations. Mac Usage Instructions: Click the upload image or drag and drop an image there to display in a new window. To close the newly opened image press "CMD+W". To quit WidgetArea press "CMD+Q" To move the image just drag it anywhere on the screen. Yes, you can resize added images in this release. There's no built-in option to adjust pinning or transparency in this release. However, WidgetArea for Mac does support transparent PNG's and GIF images. -
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Intel neon
Intel® Nervana™ reference deep learning framework
neon is Intel's reference deep learning framework committed to best performance on all hardware. Designed for ease of use and extensibility. See the new features in our latest release. We want to highlight that neon v2.0.0+ has been optimized for much better performance on CPUs by enabling Intel Math Kernel Library (MKL). The DNN (Deep Neural Networks) component of MKL that is used by neon is provided free of charge and downloaded automatically as part of the neon installation. The gpu... -
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Deepo
Set up deep learning environment in a single command line
...Their Dockerfile generator that allows you to customize your own environment with Lego-like modules, and automatically resolves the dependencies for you. For users in China who may suffer from slow speeds when pulling the image from the public Docker registry, you can pull deepo images from the China registry mirror by specifying the full path, including the registry, in your docker pull command. This should work and enables Deepo to use the GPU from inside a docker container. -
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HubCommander
A Slack bot for GitHub organization management, and other things too
A user-extendable Slack bot for GitHub organization management. HubCommander provides a chat-ops means for managing GitHub organizations. It creates a simple way to perform privileged GitHub organization management tasks without granting administrative or owner privileges to your GitHub organization members. HubCommander is based on slackhq/python-rtmbot (currently, dependent on release 0.4.0) You simply type help, and the bot will output a list of commands that the bot supports. Typing the... -
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WikiSQL
A large annotated semantic parsing corpus for developing NL interfaces
...Regarding tokenization and Stanza, when WikiSQL was written 3-years ago, it relied on Stanza, a CoreNLP python wrapper that has since been deprecated. If you'd still like to use the tokenizer, please use the docker image. We do not anticipate switching to the current Stanza as changes to the tokenizer would render the previous results not reproducible. -
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...SciPy is package of tools for science and engineering for Python. It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more.
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httpbin
HTTP request and response service, written in Python + Flask
...The response formats feature returns responses in different data formats, the dynamic data feature generates random and dynamic data. You can also create, read and delete Cookies. The images feature returns different image formats, and you can return different redirect responses as well. Finally, you can return anything that is passed to request. -
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i-Map - Plot Geolocation from Images
Automatically plots latitude, longitude from images on Google maps.
i-Map is a Photo metadata forensic tool for Geo-location analysis of images that are clicked from GPS enabled devices. In this tool, you can load 100s of images from a suspect's device and analyze them to know various locations where photos were clicked on mobile phone/tablet. After loading images, with a single click, iMap plots all the images on World Map to visually check where they have been captured, generate timeline and activity of suspect and match them with CDR (Call Detail... -
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Machine Learning for OpenCV
M. Beyeler (2017). Machine Learning for OpenCV
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4. -
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Learning to Learn in TensorFlow
Learning to Learn in TensorFlow
Learning to Learn, created by Google DeepMind, is an experimental framework that implements meta-learning—training neural networks to learn optimization strategies themselves rather than relying on manually designed algorithms like Adam or SGD. The repository provides code for training and evaluating learned optimizers that can generalize across different problem types, such as quadratic functions and image classification tasks (MNIST and CIFAR-10). Using TensorFlow, it defines a meta-optimizer model that learns by observing and adapting to the optimization trajectories of other models. The project allows users to compare performance between traditional optimizers and the learned optimizer (L2L) on various benchmarks, demonstrating how optimization strategies can be learned through experience. ... -
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Windows Spotlight Slideshow Update
App maintains a slideshow image folder using Windows Spotlight images.
This app maintains a slideshow image folder, using Windows Spotlight images that meet the customizable selection criteria. The app adds or deletes slideshow images based on additions to or deletions from the Windows Spotlight folder by Windows Spotlight. The slideshow folder can be specified in Windows Settings background personalization as the input to a desktop/background slideshow.
