Search Results for "pipeline" - Page 3
Sort By:
Showing 467 open source projects for "pipeline"
View related business solutions-
Our Free Plans just got better! | Auth0 by OktaYou 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 secuirty. Auth0 now, thank yourself later.
-
Bright Data - All in One Platform for Proxies and Web ScrapingBright Data offers the highest quality proxies with automated session management, IP rotation, and advanced web unlocking technology. Enjoy reliable, fast performance with easy integration, a user-friendly dashboard, and enterprise-grade scaling. Powered by ethically-sourced residential IPs for seamless web scraping.
-
1
Kestra
Kestra is an infinitely scalable orchestration and scheduling platform
... in the data pipeline creation process. The UI automatically adjusts the YAML definition any time you make changes to a workflow from the UI or via an API call. Therefore, the orchestration logic is defined declaratively in code, even if some workflow components are modified in other ways. -
2
The Tengo Language
A fast script language for Go
Tengo is a small, dynamic, fast, secure script language for Go. Tengo is fast and secure because it's compiled/executed as bytecode on stack-based VM that's written in native Go. Securely Embeddable and Extensible. Compiler/runtime written in native Go (no external deps or cgo). Executable as a standalone language / REPL. Use cases, rules engine, state machine, data pipeline, transpiler. If you need to evaluate a simple expression, you can use Eval function instead. -
3
GraphRAG
A modular graph-based Retrieval-Augmented Generation (RAG) system
The GraphRAG project is a data pipeline and transformation suite that is designed to extract meaningful, structured data from unstructured text using the power of LLMs. -
4
Grida Assistant
Bring your Figma design & development pipeline to the next level
Bring your Figma design & development pipeline to the next level - with design-to-code, in-design-content-management, component management, and tools for faster design. -
Precoro helps companies spend smarterFor minor company expenses, you might utilize a spend management solution or track everything in spreadsheets. For everything more, you'll need Precoro. We help companies achieve procurement excellence and budget efficiency by building transparent, predictable, automated spending workflows.
-
5
Tarsier
Vision utilities for web interaction agents
At Reworkd, we iterated on all these problems across tens of thousands of real web tasks to build a powerful perception system for web agents... Tarsier! In the video below, we use Tarsier to provide webpage perception for a minimalistic GPT-4 LangChain web agent. Tarsier visually tags interactable elements on a page via brackets + an ID e.g. [23]. In doing this, we provide a mapping between elements and IDs for an LLM to take actions upon (e.g. CLICK [23]). We define interactable elements... -
6
pgstream
PostgreSQL replication with DDL changes
... with the schema encoded as a JSON value. This table tracks all the schema changes, forming a linearised change log that is then parsed and used within the pgstream pipeline to identify modifications and push the relevant changes downstream. -
7
MLJAR Studio
Python package for AutoML on Tabular Data with Feature Engineering
... the machine learning models, and perform hyper-parameter tuning to find the best model. It is no black box, as you can see exactly how the ML pipeline is constructed (with a detailed Markdown report for each ML model). -
8
frugally-deep
A lightweight header-only library for using Keras (TensorFlow) models
... multiple predictions in parallel, thus utilizing as many CPUs as you like to improve the overall prediction throughput of your application/pipeline. -
9
Nerfstudio
A collaboration friendly studio for NeRFs
Nerfstudio provides a simple API that allows for a simplified end-to-end process of creating, training, and testing NeRFs. The library supports a more interpretable implementation of NeRFs by modularizing each component. With more modular NeRFs, we hope to create a more user-friendly experience in exploring the technology. This is a contributor-friendly repo with the goal of building a community where users can more easily build upon each other’s contributions. Nerfstudio initially launched... -
Discover Multiview ERP: The Financial Management RevolutionBuilt for growing businesses and well-established enterprises alike, Multiview is a highly scalable and robust ERP.
-
10
Ktor
Framework for quickly creating connected applications in Kotlin
Create asynchronous client and server applications. Anything from microservices to multiplatform HTTP client apps in a simple way. Open Source, free, and fun. Ktor is built from the ground up using Kotlin and Coroutines. You get to use a concise, multiplatform language, as well as the power of asynchronous programming with an intuitive imperative flow. Ktor allows you to use only what you need, and to structure your application the way you need it. In addition, you can also extend Ktor with... -
11
towhee
Framework that is dedicated to making neural data processing
Towhee is an open-source machine-learning pipeline that helps you encode your unstructured data into embeddings. You can use our Python API to build a prototype of your pipeline and use Towhee to automatically optimize it for production-ready environments. 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... -
12
Automated Tool for Optimized Modelling
Automated Tool for Optimized Modelling
During the exploration phase of a machine learning project, a data scientist tries to find the optimal pipeline for his specific use case. This usually involves applying standard data cleaning steps, creating or selecting useful features, trying out different models, etc. Testing multiple pipelines requires many lines of code, and writing it all in the same notebook often makes it long and cluttered. On the other hand, using multiple notebooks makes it harder to compare the results and to keep... -
13
Union Pandera
Light-weight, flexible, expressive statistical data testing library
... that produce your data by automatically generating test cases for them. Integrate seamlessly with the Python ecosystem. Overcome the initial hurdle of defining a schema by inferring one from clean data, then refine it over time. Identify the critical points in your data pipeline, and validate data going in and out of them. Build confidence in the quality of your data by defining schemas for complex data objects. -
14
Orion
A machine learning library for detecting anomalies in signals
..., finding the best pipeline, and postprocessing. We want to provide a systematic way to evaluate the latest and greatest machine learning methods via our benchmarking effort. Build time series anomaly detection platforms custom to their workflows through our backend database and rest API. A way for machine learning researchers to contribute in a scaffolded way so their innovations are immediately available to the end users. -
15
hloc
Visual localization made easy with hloc
.... 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. -
16
FiftyOne
The open-source tool for building high-quality datasets
... to boost the performance of your model. FiftyOne provides the building blocks for optimizing your dataset analysis pipeline. Use it to get hands-on with your data, including visualizing complex labels, evaluating your models, exploring scenarios of interest, identifying failure modes, finding annotation mistakes, and much more! Surveys show that machine learning engineers spend over half of their time wrangling data, but it doesn't have to be that way. -
17
Weights and Biases
Tool for visualizing and tracking your machine learning experiments
Use W&B to build better models faster. Track and visualize all the pieces of your machine learning pipeline, from datasets to production models. Quickly identify model regressions. Use W&B to visualize results in real time, all in a central dashboard. Focus on the interesting ML. Spend less time manually tracking results in spreadsheets and text files. Capture dataset versions with W&B Artifacts to identify how changing data affects your resulting models. Reproduce any model, with saved code... -
18
CodeGuru Reviewer CLI Wrapper
Command line wrapper to interact with CodeGuru Reviewer
Simple CLI wrapper for CodeGuru reviewer that provides a one-line command to scan a local clone of a repository and receive results. This CLI wraps the AWS CLI commands to communicate with AWS CodeGuru Reviewer. Using CodeGuru Reviewer may generate metering fees in your AWS account. See the CodeGuru Reviewer pricing for details. To run the CLI, we need to have a version of git, Java (e.g., Amazon Corretto) and the AWS Command Line interface installed. Verify that both applications are... -
19
Electron Forge
A complete tool for building and publishing Electron applications
A complete tool for building modern Electron applications. Electron Forge unifies the existing (and well-maintained) build tools for Electron development into a simple, easy-to-use package so that anyone can jump right into Electron development. Electron Forge is an all-in-one tool for packaging and distributing Electron applications. It combines many single-purpose packages to create a full build pipeline that works out of the box, complete with code signing, installers, and artifact... -
20
Code Review GPT
Your personal code reviewer powered by LLMs
Code Review GPT uses Large Language Models to review code in your CI/CD pipeline. It helps streamline the code review process by providing feedback on code that may have issues or areas for improvement. Code Review GPT is in alpha and should be used for fun only. It may provide useful feedback but please check any suggestions thoroughly. -
21
Tributary
Streaming reactive and dataflow graphs in Python
Tributary is a library for constructing dataflow graphs in Python. Unlike many other DAG libraries in Python (airflow, luigi, prefect, dagster, dask, kedro, etc), tributary is not designed with data/etl pipelines or scheduling in mind. Instead, tributary is more similar to libraries like mdf, loman, pyungo, streamz, or pyfunctional, in that it is designed to be used as the implementation for a data model. One such example is the greeks library, which leverages tributary to build data models... -
22
Acharya
A Data Centric annotation tool for your Named Entity Recognition
A data-centric annotation tool to increase the accuracy of your Named Entity Recognition projects which helps rapidly identify and fix labeling errors in your dataset. Import/export datasets in multiple formats, train a model and use it to aid in the annotation process. Setup an MLOps pipeline to experiment with different algorithms on the same data and increase their accuracy and performance in a data-centric way. Installation and Setup for Acharya are not required, Acharya runs the initial... -
23
Alluxio
Open Source Data Orchestration for the Cloud
Alluxio is the world’s first open source data orchestration technology for analytics and AI for the cloud. It bridges the gap between computation frameworks and storage systems, bringing data from the storage tier closer to the data driven applications. This enables applications to connect to numerous storage systems through a common interface. It makes data local, more accessible and as elastic as compute. -
24
Middleware
Open-source DORA metrics platform for engineering teams
Bring more visibility to your engineering pipeline, get the right data & actionable insights to unclog bottlenecks, ensuring smooth software delivery. -
25
PyTextRank
Python implementation of TextRank algorithms
PyTextRank is a Python implementation of TextRank as a spaCy pipeline extension, for graph-based natural language work -- and related knowledge graph practices.