Search Results for "model-builder" - Page 6
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Showing 2013 open source projects for "model-builder"
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1
Kodus
AI code reviews, just like your senior dev would do
...It provides a structured set of tools and abstractions that help teams design agent behaviors, orchestrate data pipelines, optimize inference, and integrate AI capabilities with applications or services. The platform often includes model management, scalable training workflows, and orchestration patterns that help teams move from research or prototypes to production-ready AI deployments. Through configurable pipelines and a focus on modularity, it supports experimentation while maintaining reproducibility and performance. Its tooling is typically designed to handle real-world imperatives like logging, monitoring, versioning, and hooking into operational infrastructure. -
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AI Commits
A CLI that writes your git commit messages for you with AI
AI Commits is a command-line tool that writes your git commit messages for you using an AI model. It works by running git diff to gather your staged code changes, sending that diff to an LLM (originally GPT-3, now configurable), and receiving back a concise, human-readable commit message. The tool is designed to integrate cleanly into a developer’s workflow so that generating a descriptive commit message becomes a single command rather than a chore. -
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Unsloth-MLX
Bringing the Unsloth experience to Mac users via Apple's MLX framework
...It supports loading and training Hugging Face models with fine-tuning strategies like SFT, DPO, ORPO, and GRPO and even handles exporting models to formats like GGUF for downstream use, although some limitations apply with quantized models. Users can write and test training pipelines directly on macOS before scaling up, accelerating development cycles and lowering entry barriers for model refinement. -
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Mistral Inference
Official inference library for Mistral models
Open and portable generative AI for devs and businesses. We release open-weight models for everyone to customize and deploy where they want it. Our super-efficient model Mistral Nemo is available under Apache 2.0, while Mistral Large 2 is available through both a free non-commercial license, and a commercial license. -
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.
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Fast Excel
Fast Excel import/export for Laravel
Fast Excel import/export for Laravel, thanks to Spout. -
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DeepEP
DeepEP: an efficient expert-parallel communication library
...Because MoE architectures require routing inputs to different experts, communication overhead can become a bottleneck — DeepEP addresses that by providing optimized GPU kernels and efficient dispatch/combining logic. The library also supports low-precision operations (such as FP8) to reduce memory and bandwidth usage during communication. DeepEP is aimed at large-scale model inference or training systems where expert parallelism is used to scale model capacity without replicating entire networks. -
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PyMC3
Probabilistic programming in Python
PyMC3 allows you to write down models using an intuitive syntax to describe a data generating process. Fit your model using gradient-based MCMC algorithms like NUTS, using ADVI for fast approximate inference — including minibatch-ADVI for scaling to large datasets, or using Gaussian processes to build Bayesian nonparametric models. PyMC3 includes a comprehensive set of pre-defined statistical distributions that can be used as model building blocks. -
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Knockout
Tool to create rich, responsive UIs with JavaScript
Easily associate DOM elements with model data using a concise, readable syntax. When your data model's state changes, your UI updates automatically. Implicitly set up chains of relationships between model data, to transform and combine it. Quickly generate sophisticated, nested UIs as a function of your model data. Get started with knockout.js quickly, learning to build single-page applications, custom bindings and more with interactive tutorials. -
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Agent Executor (AX)
Google's open source distributed agent runtime
Agent Executor (AX) is a Google research project for learning discrete choice models through differentiable maximum likelihood estimation. It is designed for situations where a model needs to predict choices from a finite set of alternatives, such as ranking, recommendation, preference modeling, or decision behavior analysis. The project provides JAX-based tools for defining and training choice models with automatic differentiation. It focuses on flexible model construction rather than a single fixed estimator, making it useful for researchers who want to experiment with different utility functions and optimization setups. ax is especially relevant for machine learning and econometrics workflows that need scalable, differentiable approaches to choice modeling. ... -
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Elide
Elide is a Java library that lets you stand up a GraphQL/JSON-API
Model-driven {json:api} & GraphQL web services for CRUD and Analytics. Elide is a Java library that enables you to stand up JSON API or GraphQL web services in 4 simple steps. Define a JPA annotated model including relationships to other models using Java, Kotlin, Groovy, and other JVM languages. Control access to fields and entities through a declarative, intuitive permission syntax. -
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Draper
Decorators/view-models for Rails applications
...With Draper decorators, you can wrap your models with presentation-related logic to organize and test this layer of your app much more effectively. Imagine your application has an Article model. With Draper, you'd create a corresponding ArticleDecorator. The decorator wraps the model, and deals only with presentational concerns. In the controller, you decorate the article before handing it off to the view. In the view, you can use the decorator in exactly the same way as you would have used the model. But whenever you start needing logic in the view or start thinking about a helper method, you can implement a method on the decorator instead. -
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Sequelize
A promise-based multi SQL dialect Node.js ORM
...Official TypeScript typings are now included. Sequelize can be used since the beginning in order to automate the creation of every table in your database. Models are the essence of Sequelize. A model is an abstraction that represents a table in your database. In Sequelize, it is a class that extends Model. The model tells Sequelize several things about the entity it represents, such as the name of the table in the database and which columns it has (and their data types). -
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Explainer.js
CLI tool to process files and output the code blocks
CLI tool to process files and output the code blocks along with explanation, using various configuration options like API key, base URL, model name, and temperature. -
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Ray
A unified framework for scalable computing
...Accelerate your PyTorch and Tensorflow workload with a more resource-efficient and flexible distributed execution framework powered by Ray. Accelerate your hyperparameter search workloads with Ray Tune. Find the best model and reduce training costs by using the latest optimization algorithms. Deploy your machine learning models at scale with Ray Serve, a Python-first and framework agnostic model serving framework. Scale reinforcement learning (RL) with RLlib, a framework-agnostic RL library that ships with 30+ cutting-edge RL algorithms including A3C, DQN, and PPO. ... -
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Llama Stack
Composable building blocks to build Llama Apps
Llama-Stack is an open-source framework designed to facilitate the deployment and fine-tuning of large language models (LLMs) for various natural language processing tasks. -
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ToolJet
Extensible low-code framework for building business applications
Extensible low-code framework for building business applications. Connect to databases, cloud storages, GraphQL, API endpoints, Airtable, etc and build apps using drag and drop application builder. Built using JavaScript/TypeScript. Everything you need to build internal tools. Open-source low-code application development platform for building and deploying business applications. Build complicated frontends without any experience in React, CSS or event HTML. Drag and drop 35+ in-built UI components to build even complicated frontends. ... -
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Seldon Core
An MLOps framework to package, deploy, monitor and manage models
...Seldon Core, our open-source framework, makes it easier and faster to deploy your machine learning models and experiments at scale on Kubernetes. Seldon Core serves models built in any open-source or commercial model building framework. You can make use of powerful Kubernetes features like custom resource definitions to manage model graphs. And then connect your continuous integration and deployment (CI/CD) tools to scale and update your deployment. Built on Kubernetes, runs on any cloud and on-premises. Framework agnostic, supports top ML libraries, toolkits and languages. ... -
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AUTOMATIC1111 Stable Diffusion web UI
Stable Diffusion web UI
AUTOMATIC1111's stable-diffusion-webui is a powerful, user-friendly web interface built on the Gradio library that allows users to easily interact with Stable Diffusion models for AI-powered image generation. Supporting both text-to-image (txt2img) and image-to-image (img2img) generation, this open-source UI offers a rich feature set including inpainting, outpainting, attention control, and multiple advanced upscaling options. With a flexible installation process across Windows, Linux, and... -
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Ollama-rs
A simple and easy-to-use library for interacting with the Ollama API
...It follows the official Ollama API closely, ensuring compatibility while offering an idiomatic Rust experience with strong typing and asynchronous execution. The library supports a wide range of operations, including text generation, chat interactions, embeddings, and model management, making it suitable for both simple applications and more advanced AI workflows. It includes streaming capabilities for real-time output, allowing developers to process responses incrementally rather than waiting for full completions. The project also introduces support for tool calling and custom function integration, enabling more dynamic and agent-like behavior within applications. -
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virtualenv
Virtual Python environment builder
virtualenv is a tool to create isolated Python environments. Since Python 3.3, a subset of it has been integrated into the standard library under the venv module. It creates an environment that has its own installation directories, that doesn’t share libraries with other virtualenv environments (and optionally doesn’t access the globally installed libraries either). The basic problem being addressed is one of dependencies and versions, and indirectly permissions. Imagine you have an... -
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Operator Lifecycle Manager
A management framework for extending Kubernetes with Operators
...Kubernetes clusters are being kept up to date using elaborate update mechanisms today, more often automatically and in the background. Operators, being cluster extensions, should follow that. OLM has a concept of catalogs from which Operators are available to install and keep up to date. In this model, OLM allows maintainers granular authoring of the update path and gives commercial vendors a flexible publishing mechanism using channels. -
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go-app
A package to build progressive web apps with Go programming
Go-app is a package for building progressive web apps (PWA) with the Go programming language (Golang) and WebAssembly (Wasm). Shaping a UI is done by using a declarative syntax that creates and composes HTML elements only by using the Go programing language. Served with Go standard HTTP model, apps created with go-app are SEO friendly, installable, and support offline mode. Go-app uses a declarative syntax so you can write reusable component-based UI elements just by using the Go programming language. Serving an app built with go-app is done by using the Go standard HTTP model. -
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Open LLMs
A list of open LLMs available for commercial use
...For teams or developers interested in experimenting with LLMs but wanting to avoid vendor lock-in or licensing constraints, open-llms offers a practical starting point. It aggregates metadata, licensing info, and often pointers to the model weights or model cards — helping users quickly compare models by size, license, domain, and capabilities. By compiling this in one place, open-llms reduces friction in exploring the LLM space, making it easier to try different models, benchmark them, or build custom applications. -
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Perfetto
Production-grade client-side tracing, profiling, and analysis
Perfetto is a production-grade tracing platform for Android, Linux, and Chrome that captures extremely detailed information about what a system is doing over time. It’s designed around a low-overhead producer/consumer model: instrumented components (“producers”) write binary events into shared memory buffers and a collector (“service”) reliably streams them to storage. The data model spans kernel and userspace, so you can stitch together CPU scheduling, app lifecycles, binder/IPC hops, GPU work, power and thermal signals, file I/O, heap samples, and more into a single coherent timeline. ... -
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django-organizations
Multi-user accounts for Django projects
...Use Django Organizations whether your site needs organizations that function like social groups or multi-user account objects to provide account and subscription functionality beyond the individual user. Works with your existing user model, whether django.contrib.auth or a custom model. No additional user or authentication functionality is required. Users can belong to and own more than one organization (account, group) Invitation and registration functionality works out of the box for many situations and can be extended as needed to fit specific requirements. Start with the base models or use your own for greater customization. ...
