Search Results for "model-builder" - Page 21
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Showing 2013 open source projects for "model-builder"
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$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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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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Kedro
A Python framework for creating reproducible, maintainable code
Kedro is an open sourced Python framework for creating maintainable and modular data science code. Provides the scaffolding to build more complex data and machine-learning pipelines. In addition, there's a focus on spending less time on the tedious "plumbing" required to maintain data science code; this means that you have more time to solve new problems. Standardises team workflows; the modular structure of Kedro facilitates a higher level of collaboration when teams solve problems... -
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Imagen - Pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network
...It is the new SOTA for text-to-image synthesis. Architecturally, it is actually much simpler than DALL-E2. It consists of a cascading DDPM conditioned on text embeddings from a large pre-trained T5 model (attention network). It also contains dynamic clipping for improved classifier-free guidance, noise level conditioning, and a memory-efficient unit design. It appears neither CLIP nor prior network is needed after all. And so research continues. For simpler training, you can directly supply text strings instead of precomputing text encodings. ... -
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AWS Node Termination Handler
Gracefully handle EC2 instance shutdown within Kubernetes
...Amazon Elastic Compute Cloud (Amazon EC2) offers the broadest and deepest compute platform, with over 500 instances and a choice of the latest processor, storage, networking, operating system, and purchase model to help you best match the needs of your workload. We are the first major cloud provider that supports Intel, AMD, and Arm processors, the only cloud with on-demand EC2 Mac instances, and the only cloud with 400 Gbps Ethernet networking. -
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torchvision
Datasets, transforms and models specific to Computer Vision
The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision. We recommend Anaconda as Python package management system. Torchvision currently supports Pillow (default), Pillow-SIMD, which is a much faster drop-in replacement for Pillow with SIMD, if installed will be used as the default. Also, accimage, if installed can be activated by calling torchvision.set_image_backend('accimage'), libpng, which can be installed via conda conda install libpng or any of the package managers for debian-based and RHEL-based Linux distributions, and libjpeg, which can be installed via conda conda install jpeg or any of the package managers for debian-based and RHEL-based Linux distributions. ... -
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Yao Open Prompts
A Chinese AI prompt vocabulary covering work, learning, content, etc.
...The library includes prompts for meta-prompt generation, business productivity, learning methods, content operations, marketing, GEO strategy, web reverse engineering, product prototyping, and critical thinking. It is designed as a practical catalog that users can browse, copy, adapt, and test in their preferred AI model. The project also includes templates, references, maintenance checklists, scripts, and a complete catalog for easier navigation. -
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zero-native
Build desktop + mobile apps with Zig and web UI
...The project supports lightweight system WebView rendering for smaller binaries, while also offering Chromium through CEF when predictable rendering is more important. Its Zig foundation enables fast native rebuilds and direct access to platform SDKs, native libraries, codecs, and local integrations. The app model includes a manifest for metadata, icons, windows, frontend assets, engine selection, security policy, bridge permissions, and packaging inputs. It is still pre-release, but it provides a promising path for developers who want web UI productivity with a leaner native runtime than heavier desktop frameworks. -
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ollama-hpp
Modern, Header-only C++ bindings for the Ollama API
...It includes support for streaming responses, enabling applications to process output as it is generated rather than waiting for full completions. The project also evolves alongside the Ollama API, adding support for newer features such as blob handling and improved model interaction capabilities. Its design prioritizes simplicity, allowing developers to quickly integrate AI features without introducing large dependencies. -
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Ellama
Ellama is a tool for interacting with large language models from Emacs
Ellama is an Emacs integration that brings large language model capabilities directly into the Emacs editor environment, focusing on extensibility and deep workflow integration. It allows users to interact with local or remote models through a unified interface embedded within their editing sessions. The tool is designed to align with Emacs’ philosophy of customization, enabling users to define prompts, commands, and behaviors tailored to their workflows. -
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tachyonfx
Effects and animation library for Ratatui applications
...The library focuses on enhancing the visual expressiveness of terminal applications, which are traditionally static, by introducing motion, interpolation, and smooth transitions between UI states. TachyonFX integrates deeply with Ratatui’s rendering model, allowing developers to apply effects to widgets, layouts, or entire scenes without rewriting core UI logic. It also supports real-time updates and interactive behaviors, making it suitable for applications that require responsive visual feedback. -
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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GCP Config Connector
GCP Config Connector, a Kubernetes add-on for managing GCP resources
...This makes the project highly valuable for teams practicing GitOps, platform engineering, or Kubernetes-centered operations, because it brings cloud resource management into the same control model used for application deployment. The repository also reflects an active emphasis on resource development and reconciliation reliability, including a newer direct development approach intended to provide a more Kubernetes-native authoring experience. -
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X For You Feed Algorithm
Algorithm powering the For You feed on X
...The repository contains the full pipeline that ingests user engagement and content candidate data, processes it through retrieval, hydration, filtering, scoring, and selection layers, and ultimately ranks posts to show what appears in a user’s feed. At its heart, the system uses a transformer-based model adapted from xAI’s Grok architecture to predict probabilities for various user actions (such as likes, replies, reposts, clicks, and negative signals), then combines those into a weighted final score that drives ranking. -
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Substrate
An Open-source Framework for Human Understanding, Meaning, Progress
Substrate is an open-source framework focused on human understanding, meaning, and progress. It aims to surface and structure conceptual objects—ideas, problems, beliefs, models, frames, goals, arguments, sources—to make them more transparent, discussable and actionable. The goal is to enable communities to collectively build and maintain a repository of these objects so that complex systems of meaning and progress can be mapped, analyzed and improved. It is relatively ambitious in... -
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Uncertainty Baselines
High-quality implementations of standard and SOTA methods
Uncertainty Baselines is a collection of strong, well-documented training pipelines that make it straightforward to evaluate predictive uncertainty in modern machine learning models. Rather than offering toy scripts, it provides end-to-end recipes—data input, model architectures, training loops, evaluation metrics, and logging—so results are comparable across runs and research groups. The library spans canonical modalities and tasks, from image classification and NLP to tabular problems, with baselines that cover both deterministic and probabilistic approaches. Techniques include deep ensembles, Monte Carlo dropout, temperature scaling, stochastic variational inference, heteroscedastic heads, and out-of-distribution detection workflows. ... -
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TarpC
An RPC framework for Rust with a focus on ease of use
...The framework is transport-agnostic: it commonly uses Tokio with serde-based codecs, but you can plug in your own framing and serialization. It bakes in RPC concerns such as deadlines, cancellation, and context propagation so production behavior is predictable under load. The programming model feels native—call methods on a client stub and await results—while the server side exposes clean concurrency primitives for handling many requests. Because the interface is just Rust code, refactoring and IDE tooling work naturally without an external IDL. -
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CoreNet
CoreNet: A library for training deep neural networks
CoreNet is Apple’s internal deep learning framework for distributed neural network training, designed for high scalability, low-latency communication, and strong hardware efficiency. It focuses on enabling large-scale model training across clusters of GPUs and accelerators by optimizing data flow and parallelism strategies. CoreNet provides abstractions for data, tensor, and pipeline parallelism, allowing models to scale without code duplication or heavy manual configuration. Its distributed runtime manages synchronization, load balancing, and mixed-precision computation to maximize throughput while minimizing communication bottlenecks. ... -
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Elixir Companies
A list of companies currently using Elixir in production
...Beyond simple listings, the project highlights the breadth of Elixir usage—from startups to large enterprises—and helps newcomers see real-world adoption. The codebase itself is an example Phoenix application, offering a transparent, collaborative model for community content. Over time, the directory has become a reference point frequently cited when assessing Elixir’s ecosystem health and job market. -
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Stock prediction deep neural learning
Predicting stock prices using a TensorFlow LSTM
Predicting stock prices can be a challenging task as it often does not follow any specific pattern. However, deep neural learning can be used to identify patterns through machine learning. One of the most effective techniques for series forecasting is using LSTM (long short-term memory) networks, which are a type of recurrent neural network (RNN) capable of remembering information over a long period of time. This makes them extremely useful for predicting stock prices. Predicting stock... -
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Mobility
Pluggable Ruby translation framework
...The default way to store translations is to put them all in a set of two shared tables, but many alternatives are also supported, including translatable columns and model translation tables, as well as database-specific storage solutions such as json/jsonb and Hstore (for PostgreSQL). -
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Easy Random
The simple, stupid random Java beans/records generator
...This method is able to generate a random instance of any arbitrary Java bean. Populating a Java object with random data can look easy at first glance, unless your domain model involves many related classes. -
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Java API for GitHub
Java API for GitHub
This library defines an object oriented representation of the GitHub API. By "object oriented" we mean there are classes that correspond to the domain model of GitHub (such as GHUser and GHRepository), operations that act on them as defined as methods (such as GHUser.follow()), and those object references are used in favor of using string handle (such as GHUser.isMemberOf(GHOrganization) instead of GHUser.isMemberOf(String)) The library supports both github.com and GitHub Enterprise. ... -
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FlexLib
FlexLib is an Objective-C layout framework for iOS
FlexLib is an Objective-C layout framework for iOS. It's based on flexbox model which is standard for web layout. So the layout capability is powerful and easy to use. With FlexLib, you can write iOS UI much faster than before, and there are better adaptability. Flexbox is more general than autolayout. Flexbox is standard for web and it's also used in ReactNative, Weex, AsyncDisplayKit, Android. FlexLib has better readability. -
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QFramework
Unity3D System Design Architecture
...The ISystem interface helps IController undertake part of the logic, logic shared in multiple presentation layers, such as timing system, mall system, achievement system, etc. Data layer: Model layer. The IModel interface is responsible for the definition of data and the provision of methods for adding, deleting, checking and modifying data. -
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SDGym
Benchmarking synthetic data generation methods
...Select any of the publicly available datasets from the SDV project, or input your own data. Choose from any of the SDV synthesizers and baselines. Or write your own custom machine learning model. In addition to performance and memory usage, you can also measure synthetic data quality and privacy through a variety of metrics. Install SDGym using pip or conda. We recommend using a virtual environment to avoid conflicts with other software on your device. -
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Synapse Machine Learning
Simple and distributed Machine Learning
SynapseML (previously MMLSpark) is an open source library to simplify the creation of scalable machine learning pipelines. SynapseML builds on Apache Spark and SparkML to enable new kinds of machine learning, analytics, and model deployment workflows. SynapseML adds many deep learning and data science tools to the Spark ecosystem, including seamless integration of Spark Machine Learning pipelines with the Open Neural Network Exchange (ONNX), LightGBM, The Cognitive Services, Vowpal Wabbit, and OpenCV. These tools enable powerful and highly-scalable predictive and analytical models for a variety of data sources. ... -
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NeoPixelBus
An Arduino NeoPixel support library
An Arduino NeoPixel support library supports a large variety of individually addressable LEDs. Please refer to the Wiki for more details. Please use the gitter channel to ask questions as the GitHub Issues feature is used for bug tracking. A library to control one wire protocol RGB and RGBW LEDs like APA106, SK6812, WS2811, WS2812, and WS2813 that are commonly referred to as NeoPixels and two-wire protocol RGB like Lpd8806, APA102, and SK9822 commonly referred to as DotStars. Supports most...
