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Context for your AI agents
Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.
Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
...It wraps the GFPGAN model (served via Replicate) behind a friendly Next.js front end, so non-technical users can upload an image and receive an enhanced version without ever touching ML code. The workflow is straightforward: you upload a photo, the serverless API route sends it to Replicate, and the restored image is returned and displayed in the UI. The project is production-oriented, not just a toy: it uses Bytescale for storage and image processing, Vercel for hosting and serverless functions, Auth.js + Neon for authentication and database, and Upstash Redis for rate limiting. ...
...All kinds of modules in the SDK can be extended, such as Transform for image processing, Net for Neural Network inference, Module for postprocessing and so on. Install and build your target backend. ONNX Runtime is a cross-platform inference and training accelerator compatible with many popular ML/DNN frameworks. Please read getting_started for the basic usage of MMDeploy.
...Additionally, operations on images such as edge detection and color clustering have also been added. GIMP-ML relies on standard Python packages such as numpy, scikit-image, pillow, pytorch, open-cv, scipy. In addition, GIMP-ML also aims to bring the benefits of using deep learning networks used for computer vision tasks to routine image processing workflows.
Matlab code of machine learning algorithms in book PRML
This Matlab package implements machine learning algorithms described in the great textbook: Pattern Recognition and Machine Learning by C. Bishop (PRML). It is written purely in Matlab language. It is self-contained. There is no external dependency. This package requires Matlab R2016b or latter, since it utilizes a new Matlab syntax called Implicit expansion (a.k.a. broadcasting). It also requires Statistics Toolbox (for some simple random number generator) and Image Processing Toolbox (for...
Atera all-in-one platform IT management software with AI agents
Ideal for internal IT departments or managed service providers (MSPs)
Atera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
Effective Linear Algebra and Computer Vision Library with JAVA
...Currently, it holds following main concepts 1- Vision:
It can access web cams, imaging source industrial cameras for manuel settings and advanced issues. Studies on accesing Leapmotion and Kinect is still under-development. 2- Machine learning: It uses Weka Software tool and some personel coded ML algorithms 3- CMatrix: Special matrix library called as CMatrix meaning Cezeri Maztrix Class. Actually it is regarded as the core of the OCL. CMatrix supports fluent interface and method chaining.
"MathML Formula for Flash" is an implementation of MathML to display the mathematical formula and it is intended to be used in Adobe Flash applications. More info you can get from http://www.learn-math.info/mathml.do?action=formula
GD4O is an OCaml interface to the GD graphics library. It provides OCaml developers a means to generate and manipulate bitmap images. TrueType fonts and antialiased drawing are supported.
GD4O is based on OCamlGD 0.7, developed by Shawn Wagner.
JimboVector 3D is a suite of applications and source code which allow 3D application developers to easily implement complex 3D items into their projects. Such items would include character animations and physics, 3D maps, realtime 3D animated cutscenes,