Search Results for "model-builder" - Page 27
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Showing 2013 open source projects for "model-builder"
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Django Notebook
Django + shell_plus + Jupyter notebooks made easy
Django + shell_plus + Jupyter notebooks made easy. A Jupyter notebook with access to objects from the Django ORM is a powerful tool to introspect data and run ad-hoc queries. Built-in integration with the imported objects from django-extensions shell_plus. Saves the state between sessions so you don't need to remember what you did. Inheritance diagrams on any object, including ORM models. -
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SageMaker Spark
A Spark library for Amazon SageMaker
...With SageMaker Spark you construct Spark ML Pipelines using Amazon SageMaker stages. These pipelines interleave native Spark ML stages and stages that interact with SageMaker training and model hosting. With SageMaker Spark, you can train on Amazon SageMaker from Spark DataFrames using Amazon-provided ML algorithms like K-Means clustering or XGBoost, and make predictions on DataFrames against SageMaker endpoints hosting your trained models, and, if you have your own ML algorithms built into SageMaker compatible Docker containers, you can use SageMaker Spark to train and infer on DataFrames with your own algorithms -- all at Spark scale. ... -
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gokv
Simple key-value store abstraction and implementations for Go
Simple key-value store abstraction and implementations for Go. Redis, Consul, etcd, bbolt, BadgerDB, LevelDB, Memcached, DynamoDB, S3, PostgreSQL, MongoDB, CockroachDB, and many more. There are detailed descriptions of the methods in the docs and in the code. You should read them if you plan to write your own gokv.Store implementation or if you create a Go package with a method that takes a gokv.Store as a parameter, so you know exactly what happens in the background. -
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MMDeploy
OpenMMLab Model Deployment Framework
MMDeploy is an open-source deep learning model deployment toolset. It is a part of the OpenMMLab project. Models can be exported and run in several backends, and more will be compatible. 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. -
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goqu
SQL builder and query library for golang
SQL builder and query library for golang. goqu is an expressive SQL builder and executor. Query builder, parameter interpolation (e.g SELECT * FROM "items" WHERE "id" = ? -> SELECT * FROM "items" WHERE "id" = 1). Built from the ground up with multiple dialects in mind. Insert, multi insert, update, and delete support. Scanning of rows to struct[s] or primitive value[s]. -
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Transformers4Rec
Transformers4Rec is a flexible and efficient library
...Transformers4Rec makes state-of-the-art transformer architectures available for RecSys researchers and industry practitioners. Traditional recommendation algorithms usually ignore the temporal dynamics and the sequence of interactions when trying to model user behavior. Generally, the next user interaction is related to the sequence of the user's previous choices. In some cases, it might be a repeated purchase or song play. User interests can also suffer from interest drift because preferences can change over time. Those challenges are addressed by the sequential recommendation task. -
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Oso
Oso is a batteries-included framework for building authorization
The Oso Library is a batteries-included framework for building authorization in your application. With Oso, you can. Model: Set up common permissions patterns like RBAC and relationships using Oso’s built-in primitives. Extend them however you need with Oso’s declarative policy language, Polar. Filter: Go beyond yes/no authorization questions. Implement authorization over collections too - e.g., “Show me only the records that Juno can see.” Test: Write unit tests over your authorization logic now that you have a single interface for it. ... -
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Livewire Datatables
Advanced datatables using Laravel, Livewire, Tailwind CSS and Alpine
Advanced data tables using Laravel, Livewire, Tailwind CSS, and Alpine JS. It is possible to take full control over your table, you can define a builder method using whatever query you like, using your own joins, groups, etc., and then name your columns using your normal SQL syntax. If you want to give your users the ability to pin specific records to be able to, for example, compare them with each other, you can use the CanPinRecords trait. Ensure to have at least one Checkbox Column so the user can select records. -
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GraphQL SPQR
Build a GraphQL service in seconds
...This makes refactoring risky and cumbersome, and the compiler can not help. On the other hand, if you’re trying to introduce a GraphQL API into an existing project, writing the schema practically means re-describing the entire existing model. -
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Git-Flow Maven Plugin
The Git-Flow Maven Plugin supports various Git workflows
A Maven plugin for managing GitFlow workflow, automating branch and version management in projects. -
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Sonnet
TensorFlow-based neural network library
Sonnet is a neural network library built on top of TensorFlow designed to provide simple, composable abstractions for machine learning research. Sonnet can be used to build neural networks for various purposes, including different types of learning. Sonnet’s programming model revolves around a single concept: modules. These modules can hold references to parameters, other modules and methods that apply some function on the user input. There are a number of predefined modules that already ship with Sonnet, making it quite powerful and yet simple at the same time. Users are also encouraged to build their own modules. ... -
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hyperx
Tagged template string virtual dom builder
tagged template string virtual dom builder. This module is similar to JSX, but provided as a standards-compliant ES6 tagged template string function. hyperx works with virtual-dom, react, hyperscript, or any DOM builder with a hyperscript-style API: h(tagName, attrs, children). You might also want to check out the hyperxify browserify transform to statically compile hyperx into javascript expressions to save sending the hyperx parser down the wire. -
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Habfuzz
A command-line tool for data-driven fuzzy modelling
Input 1 - A training dataset (multiple observations) of up to four variables (predictors) against one (response variable) Input 2 - A test dataset (multiple observations) of the same four variables with unknown response variable Output - Calculation of the response variable for each test observation using fuzzy logic or fuzzy rule-based Bayesian algorithms HABFUZZ is a habitat model, which can be used in ecohydraulic modelling applications for the calculation of the instream habitat suitability in various discharge scenarios in a simulated river reach. It comes with no graphical user interface but it's a one-click tool. Just provide your input and let HABFUZZ provide you the output. The HABFUZZ manual https://github.com/chtheodoro/habfuzz/blob/master/HABFUZZ_v2.5_manual.pdf HABFUZZ in the Journal of Open Source Software http://joss.theoj.org/papers/1ad27db8f0976c28a75e20d34eba5ee2 HABFUZZ website https://chtheodoro.wixsite.com/habfuzz -
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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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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. -
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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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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. -
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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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