Search Results for "model-builder" - Page 28
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Showing 2118 open source projects for "model-builder"
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Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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API Dash
API Dash is a beautiful AI-powered open-source cross-platform
API Dash is an open-source, cross-platform API client built with Flutter for testing, designing, and exploring APIs. It gives developers a visual interface to create and customize HTTP requests, inspect responses, and organize API work without relying only on command-line tools. The project supports desktop and mobile workflows, making it useful across Windows, macOS, Linux, Android, and iOS-style environments. It also includes AI-powered capabilities and code generation features to help... -
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towhee
Framework that is dedicated to making neural data processing
...From images to text to 3D molecular structures, Towhee supports data transformation for nearly 20 different unstructured data modalities. We provide end-to-end pipeline optimizations, covering everything from data decoding/encoding, to model inference, making your pipeline execution 10x faster. Towhee provides out-of-the-box integration with your favorite libraries, tools, and frameworks, making development quick and easy. Towhee includes a pythonic method-chaining API for describing custom data processing pipelines. We also support schemas, making processing unstructured data as easy as handling tabular data. -
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Evolutionary Algorithm
Evolutionary Algorithm using Python
...Users can explore basic genetic algorithm setups, match phrase examples, pathfinding challenges, and microbial GA variants, as well as evolution strategy approaches like NES. The project also links classical evolutionary approaches with neural networks, illustrating how evolution can be used for model training in reinforcement learning and supervised contexts. -
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pipeless
A computer vision framework to create and deploy apps in minutes
...You provide some functions that are executed for new video frames and Pipeless takes care of everything else. You can easily use industry-standard models, such as YOLO, or load your custom model in one of the supported inference runtimes. Pipeless ships some of the most popular inference runtimes, such as the ONNX Runtime, allowing you to run inference with high performance on CPU or GPU out-of-the-box. You can deploy your Pipeless application with a single command to edge and IoT devices or the cloud. -
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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OpenAI-Java
OpenAI Api Client in Java
OpenAI-Java is the official Java client library provided by OpenAI for interacting with the OpenAI API. It is designed to make it easier for Java applications to call endpoints like chat completions, embeddings, function calling, streaming, and other model services using idiomatic Java patterns. You configure the client (often via environment variables or system properties), then build parameter objects (e.g. ChatCompletionCreateParams) and invoke methods like client.chat().completions().create(...) to send requests in a type-safe way. The library also supports streaming APIs, where the response arrives in chunks, using helpers like ChatCompletionAccumulator to accumulate partial responses into a full object. ... -
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Laravel Craftable
Admin panel builder / CRUD generator for Laravel
Hi Crafter, welcome to the official documentation for Craftable 6 - a Laravel-based open-source toolkit for building administration interfaces. It's an administration area minimalistic template. A starting point for developing back-office systems, intranets, or CMS systems. Craftable is a Laravel-based open-source toolkit for building administration interfaces. It ships with a powerful CRUD generator to speed up the development of your CMS, CRM or other back-office system. -
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Django Notifications
GitHub notifications alike app for Django
...To generate a notification anywhere in your code, simply import the notify signal and send it with your actor, recipient, and verb. Generating notifications is probably best done in a separate signal. Using django-model-utils, we get the ability to add queryset methods to not only the manager, but to all querysets that will be used, including related objects. To ensure users always have the most up-to-date notifications, django-notifications includes a simple javascript API for updating specific fields within a django template. Customize the display of notifications using javascript callbacks. -
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Neural Network Intelligence
AutoML toolkit for automate machine learning lifecycle
Neural Network Intelligence is an open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning. NNI (Neural Network Intelligence) is a lightweight but powerful toolkit to help users automate feature engineering, neural architecture search, hyperparameter tuning and model compression. The tool manages automated machine learning (AutoML) experiments, dispatches and runs experiments' trial jobs generated by tuning algorithms to search the best neural architecture and/or hyper-parameters in different training environments like Local Machine, Remote Servers, OpenPAI, Kubeflow, FrameworkController on K8S (AKS etc.) ... -
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DevGPT
An AI developer tool that turns tickets directly into code
...This enhances job satisfaction and work-life quality, making it a win-win for both employers and employees. Generate custom code trained on your own repository and sync effortlessly. A new level of personalized automation in coding. Our AI model generates code in an average of 40 seconds, allowing for rapid prototyping and quicker go-to-market times. Achieve more with fewer resources. -
Compliant and Reliable File Transfers Backed by Top Security CertificationsStop relying on non-certified, legacy file transfer tools that creak under the weight of modern security demands. Get full audit trails, advanced access controls and more supported by an award-winning team of experts. Start your free 25-day trial today.
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kube-monkey
An implementation of Netflix's Chaos Monkey for Kubernetes clusters
...It randomly deletes Kubernetes (k8s) pods in the cluster encouraging and validating the development of failure-resilient services. kube-monkey runs at a pre-configured hour (run_hour, defaults to 8 am) on weekdays, and builds a schedule of deployments that will face a random Pod death sometime during the same day. The time-range during the day when the random pod Death might occur is configurable and defaults to 10 am to 4 pm. kube-monkey works on an opt-in model and will only schedule terminations for Kubernetes (k8s) apps that have explicitly agreed to have their pods terminated by kube-monkey. Scheduling happens once a day on Weekdays - this is when a schedule for terminations for the current day is generated. -
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MARRMoT
Modular Assessment of Rainfall-Runoff Models Toolbox
MARRMoT (Modular Assessment of Rainfall-Runoff Models Toolbox) is a MATLAB toolbox designed for hydrological modeling. It allows users to simulate and assess various rainfall-runoff models, providing tools for calibration, sensitivity analysis, and comparison of model performance. -
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GPT-Code UI
An open source implementation of OpenAI's ChatGPT Code interpreter
An open source implementation of OpenAI's ChatGPT Code interpreter. Simply ask the OpenAI model to do something and it will generate & execute the code for you. You can put a .env in the working directory to load the OPENAI_API_KEY environment variable. For Azure OpenAI Services, there are also other configurable variables like deployment name. See .env.azure-example for more information. Note that model selection on the UI is currently not supported for Azure OpenAI Services. -
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WordPress Community Edition For Intranet
The Free & Popular WordPress Web Software in Complete Virtual Machine
This VM is created for 2 reasons: 1. Very little initial setup work required to make WordPress live, within minutes. 2. This system should keep running for Years, without requiring Updates / Breakages. If you are new to Virtual Machines, then please watch the Video below ( taken from my other project. just replace td with wp wherever mentioned ) After starting this VM, please login to its administration panel with: Website Address: https://wp.local/wp-login.php ( Accept Any... -
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Sceneform Maintained SDK for Android
Sceneform Maintained is an ARCore Android SDK with Google Filament
Sceneform Maintained is an ARCore Android SDK with Google Filament as 3D engine. This is the continuation of the Archived Sceneform. Android Augmented Reality library: AR Model Viewer, Augmented Images, Augmented Faces, Video, Depth, Cloud Anchors, Instant Placement, Light Estimation and much more in Kotlin and Java. -
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hloc
Visual localization made easy with hloc
...We provide step-by-step guides to localize with Aachen, InLoc, and to generate reference poses for your own data using SfM. Just download the datasets and you're reading to go! The notebook pipeline_InLoc.ipynb shows the steps for localizing with InLoc. It's much simpler since a 3D SfM model is not needed. We show in pipeline_SfM.ipynb how to run 3D reconstruction for an unordered set of images. This generates reference poses, and a nice sparse 3D model suitable for localization with the same pipeline as Aachen. -
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FlubuCore
A cross platform build and deployment automation system
"FlubuCore - Fluent Builder Core" is a cross-platform build and deployment automation system. You can define your build and deployment scripts in C# using an intuitive fluent interface. This gives you code completion, IntelliSense, debugging, FlubuCore custom analyzers, and native access to the whole .NET ecosystem inside of your scripts. FlubuCore offers a .net (core) console application that uses power of roslyn to compile and execute scripts. -
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Proteus Model Builder
GUI for training of neural network models for GuitarML Proteus
GUI for easier installation and training of neural network models for guitar amplifiers and pedals, based on the GuitarML Proteus models. These are usable for Proteus, Chowdhury-DSP BYOD and even NeuralPi, on all platforms incl. Linux and RaspberryPi. What is this? GuitarML's work on Proteus, NeuralPi and Proteusboard (hardware) is amazing. https://github.com/GuitarML Yet, it is not easy to wrap your head around if you are not familiar with programming, AI, machine learning, neuronal... -
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Input mask for iOS
User input masking library repo
Input masks restrict data input and allow you to guide users to enter correct values. Interface Builder struggles to support modules imported in a form of a dynamic framework. For instance, custom views annotated as IBDesignable, containing IBInspectable and IBOutlet fields aren't recognized properly from the drag'n'dropped framework. When you cut text, characters get deleted yet you won't be able to paste them somewhere as they aren't actually in your pasteboard. -
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JavaCC Eclipse Plugin
Version 1.6.1
The JavaCC Eclipse Plugin provides a JavaCC & JTB editor and a builder which process .jj, .jjt & .jtb files and integrate with Eclipse's incremental build system. Compatible with Eclipse 4.6.0+ and Java 1.8+. Also embeds JTB 1.5.1. -
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Horovod
Distributed training framework for TensorFlow, Keras, PyTorch, etc.
Horovod was originally developed by Uber to make distributed deep learning fast and easy to use, bringing model training time down from days and weeks to hours and minutes. With Horovod, an existing training script can be scaled up to run on hundreds of GPUs in just a few lines of Python code. Horovod can be installed on-premise or run out-of-the-box in cloud platforms, including AWS, Azure, and Databricks. Horovod can additionally run on top of Apache Spark, making it possible to unify data processing and model training into a single pipeline. ... -
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Atri Framework
Open-source full-stack web development framework built on top of React
...Using Atri framework, developers do not need to write and document REST APIs. Instead, they rely upon the object model which acts as a single source of truth. This also has other benefits as well such as reducing compliance breaches. Use our powerful visual builder to create frontend or write React code. Write backend using our Python API that is inspired from Unity's game engine. Use our CLI to deploy at your platform of choice such as AWS, GitHub Pages, etc. or Atri cloud. -
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fastMRI
A large open dataset + tools to speed up MRI scans using ML
...The repository provides an open-source PyTorch framework with data loaders, subsampling utilities, reconstruction models, and evaluation metrics, supporting both research reproducibility and practical experimentation. It includes reference implementations for key MRI reconstruction architectures such as U-Net and Variational Networks (VarNet), along with example scripts for model training and evaluation using the PyTorch Lightning framework. The project also releases several fully anonymized public MRI datasets, including knee, brain, and prostate scans. -
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BartyCrouch
Incrementally update/translate your Strings files
BartyCrouch incrementally updates your Strings files from your Code and from Interface Builder files. "Incrementally" means that BartyCrouch will by default keep both your already translated values and even your altered comments. Additionally, you can also use BartyCrouch for machine translating from one language to 60+ other languages. Using BartyCrouch is as easy as running a few simple commands from the command line which can even be automated using a build script within your project. -
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LLM React App Javascript Template
The Javascript template for an LLM react node app
This template is an example project for a simple Large Language Model (LLM) application built on top of React and Node. This template was built on top of the React template app from nano-react-app and updated with a Node server that uses HuggingFace.js and LangChain.js to connect to supported large language models. Use this template to easily build and run an LLM app.
