Search Results for "iris"
Sort By:
Showing 46 open source projects for "iris"
View related business solutions-
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
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.
-
1
Iris
A modern shaders mod for Minecraft compatible with existing OptiFine
...It's also mutually incompatible with Sodium, the best rendering optimization mod in existence by a large margin. ShadersMod was never updated past 1.12, and it lacks support for many of the many modern popular shaderpacks. So I created Iris, to try and solve these issues, and also address many other longstanding issues with shader packs. I first and foremost develop Iris to meet my own needs of a performance-oriented shaders mod with good compatibility. -
2
Iris Web Framework
The fastest community-driven web framework for Go
Iris is a fast, full-featured and futuristic web framework written in Go. It is by far the fastest HTTP/2 web framework ever crafted, is highly efficient yet simple. Iris provides a beautifully expressive and easy-to-use foundation for your next website, API or distributed app. Iris comes packed with Webassembly, Automatic HTTPS with Public Domain, MVC, Sessions, Caching, Versioning API, Problem API, Websocket, Dependency Injection and more. -
3
MLDatasets.jl
Utility package for accessing common Machine Learning datasets
This package represents a community effort to provide a common interface for accessing common Machine Learning (ML) datasets. In contrast to other data-related Julia packages, the focus of MLDatasets.jl is specifically on downloading, unpacking, and accessing benchmark datasets. Functionality for the purpose of data processing or visualization is only provided to a degree that is special to some datasets. -
4
Book1_Python-For-Beginners
The Iris Book: Addition, Subtraction, Multiplication, and Division
Book1_Python-For-Beginners is the introductory volume of the Visualize-ML series, designed to teach Python programming to newcomers with no prior coding experience. The repository emphasizes clarity and gradual skill building, starting from fundamental syntax and moving toward practical programming patterns. It integrates visual aids and annotated code examples to help learners understand not just how Python works but why certain patterns are used. The material is structured to support... -
$300 Free Credits to Build on Google CloudStart your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
-
5
Freedom DDD Framework
Freedom is a hexagonal architecture-based framework
Freedom is a hexagonal architecture-based framework that underpins the hyperemic domain model paradigm. Integrated Iris. HTTP/H2C Server & Client. Integrating Prometheus. AOP Worker & Non-intrusive Context. Extensible component Infrastructure. Dependency Injection & Dependency Inversion & Open Closed Principle. DDD & Hexagonal Architecture. Domain Event & Message Queue Components. CQS & aggregate root. CRUD & PO Generate. Level 1 Cache & Level 2 Cache & Anti-breakdown. -
6
Book4_Power-of-Matrix
Book_4_Matrix Power | The Iris Book: From Addition, Subtraction
Book4_Power-of-Matrix is an open educational repository that forms part of the Visualize-ML book series, focusing on explaining matrix mathematics and linear algebra concepts through visual and intuitive methods. The project is designed to help readers progress from basic arithmetic toward machine learning fundamentals by building a strong conceptual understanding of vectors, matrices, and their operations. It combines explanatory text, diagrams, and Python examples to bridge theory and... -
7
Book6_First-Course-in-Data-Science
From Addition, Subtraction, Multiplication, and Division to ML
Book6_First-Course-in-Data-Science is an open-source educational project that serves as part of the “Iris Book” series focused on teaching data science and machine learning concepts through a combination of mathematics, programming, and visualization. The repository contains draft chapters, supporting Python code, and visual materials designed to guide readers from basic mathematical operations toward practical machine learning understanding. -
8
Redmi Note 10 JE(Iris) Fastboot ROM
Redmi Note 10 JE (XIG02) Fastboot ROM
Redmi Note 10 JE (XIG02) Fastboot ROM -
9
sqlmap
Automatic SQL injection and database takeover tool
sqlmap is a powerful, feature-filled, open source penetration testing tool. It makes detecting and exploiting SQL injection flaws and taking over the database servers an automated process. sqlmap comes with a great range of features that along with its powerful detection engine make it the ultimate penetration tester. It offers full support for MySQL, Oracle, PostgreSQL, Microsoft SQL Server, Microsoft Access, IBM DB2, SQLite, Firebird, and many other database management systems. It also... -
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.
-
10
felix-assiris
Aproximate emulator for Felix-C-256 Assiris jobs
The Felix-C-256 computer was a mainframe computer produced in Romania in the 1970ies (https://ro.wikipedia.org/wiki/Felix_C). It was more or less a copy of the IRIS-50/IRIS-80 computers produced in France by CII. It was produced by the 'Fabrica de Calculatoare' near Bucharest. Both the computer and the production technology were licenced from CII. It ran the SIRIS-2 operating system that ran also on the IRIS. At their turn the IRISes were produced under licence from SDS (Scientific Data Systems, later XDS after acquisition by Xerox) being similar to the SDS Sigma-7 and Sigma-9 computers. ... -
11
scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
scikit-learn-videos repository accompanies a video tutorial series designed to teach machine learning using Python’s scikit-learn library. It provides the Jupyter notebooks used in each lesson so learners can reproduce the demonstrations and experiment with the code themselves. The series introduces fundamental machine learning concepts such as classification, regression, model evaluation, feature engineering, and cross-validation using clear examples and real datasets. Each video... -
12
-
13
LaMa
LaMa - A Localization and Mapping library
LaMa is a C++11 software library for robotic localization and mapping developed at the Intelligent Robotics and Systems (IRIS) Laboratory at the University of Aveiro - Portugal. It includes a framework for 3D volumetric grids (for mapping), a localization algorithm based on scan matching, and two SLAM solutions (an Online SLAM and a Particle Filter SLAM). The main feature is efficiency. Low computational effort and low memory usage whenever possible. The minimum viable computer to run our localization and SLAM solutions is a Raspberry Pi 3 Model B+. ... -
14
go-study-index
Go language learning materials index
...It lists major Chinese Go communities (such as Golang 中国, Study Golang, GoCN Forum) and numerous QQ groups, alongside English-language communities like the official golang-nuts mailing list and Go Forum. The index also categorizes popular web frameworks (Gin, Echo, Beego, Macaron, Revel, Iris), ORMs and database drivers (xorm, gorm, mgo, gosql), helper sites (Go Walker, gobuild.io, regex testers, JSON-to-struct converters). -
15
TengineKit
TengineKit - Free, Fast, Easy, Real-Time Face Detection
Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile. TengineKit is an easy-to-integrate AI algorithm SDK. At present, it can run on various mobile phones at very low latency. We will continue to update this project for better results and better performance! -
16
M2SQL
Replicate your Mumps Globals into Relational Data Base
...If you have a huge amount of data on your Mumps Globals you can choose an alternative mechanism in which only changes will be replicated to the target relational database and reflected almost immediately . The tool is a set of Mumps Routines and globals written on top of Intersystem IRIS , but using only pure Ansi standard Mumps . -
17
palmerpenguins
A great intro dataset for data exploration & visualization
palmerpenguins is an R package offering real-world ecological data from the Palmer Archipelago penguin species—Adélie, Chinstrap, and Gentoo. Designed as a more engaging alternative to the classical iris dataset, it provides size measurements, clutch information, and blood isotope data for teaching, visualization, and analytics practice. -
18
-
19
A Generic Platform for Iris Recognition
A framework that allows iris recognition algorithms to be evaluated
This MATLAB based framework allows iris recognition algorithms from all four stages of the recognition process (segmentation, normalisation, encoding and matching) to be automatically evaluated and interchanged with other algorithms performing the same function. The algorithm for each stage can be selected from a list of available algorithms, with selection available for subfunctions as well. -
20
Iris-Tespit Görüntü işleme yöntemleriyle tek göz resminden İris tespitini yapabildim, asıl amacım olan iristen cinsiyet sınıflandırması kısmı ise başarısız oldu. kırpılan iris resmini işlemeden yapay sinir ağına öğretmeye çalıştığım için eğitim çok yavaş ve başarısız
-
21
The code consists of an automatic segmentation system that is based on the Hough transform, and is able to localize the circular iris and pupil region, occluding eyelids and eyelashes, and reflections. The extracted iris region was then normalized into a rectangular block with constant dimensions to account for imaging inconsistencies. Finally, the phase data from 1D Log-Gabor filters was extracted and quantized to four levels to encode the unique pattern of the iris into a bit-wise biometric template. ...
-
22
IRIS-CBAS
Online Computer Based Assessment System
LAMP compatible PHP application. Light weight. Questions are shuffled and can be skipped to be answered later. Real time monitoring and assessment of response received. Spreadsheet report generation. -
23
leshcatlabs.net
http://leshcatlabs.net
...Those drivers are based on latest AMD + Intel Drivers and aimed to support laptops powered with: • AMD 3xxx/4xxx/5xxx/6xxx/7xxx/8xxx/Rxxx Series • Intel HD/HD2000/HD2500/HD3000/HD4000/Iris/Haswell/Broadwell/Skylake CPU Embedded Graphics -
24
Iris Recognition System
Iris Recognition System Matlab source code
...It has a wide range of applications, in government programs such as national ID cards, use in visas and visa processing, and in the war against terrorism, as well as having personal applications in areas such as logical and physical access control. Iris recognition is the most accurate personal identification biometric and it is this that accounts for its use in identity management in government departments requiring high security. Index Terms: Matlab, source, code, iris, recognition, one to one, one to many, verification, identification, matching. -
25
ML Toolbox
Matlab toolbox for Machine Learning
Matlab toolbox designed to simplify training, validation and testing process for multiple probabilistic models, including SVM, HMM and CRF. The toolbox is designed to work with Matlab Distributed Engine, allowing a distributed training of the probabilistic models.
