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Published directory entries matching your search.
Apache Superset is an open-source data exploration and visualization platform. It offers a no-code visualization builder and a SQL IDE, connects to SQL-based databases, and ships with more than 40 pre-installed visualization types. It includes dashboards, a chart builder, SQL Lab and datasets, with a plug-in architecture for custom visualizations.
Whylogs is an open-source data logging library for machine learning models and data pipelines. It provides visibility into data quality and model performance over time, and supports privacy-preserving data collection to support system safety and robustness.
Forefront is described as a platform to fine-tune and inference open-source language models. The site mentions building with open-source AI, fine-tuning models on data, and running inference through serverless API endpoints. It also describes storing training, validation and evaluation data in ready-to-fine-tune datasets. Pricing lists a free tier and a team plan at $99 per month, each including $20 in free credits.
An open solution to the Data Science Bowl 2018, based on the topcoders winning solution from ods.ai. The repository was archived by the owner on Jun 22, 2022 and is now read-only. It uses PyTorch and references neptune.ml, though running it as a plain Python script is possible.
AI Visibility Monitor is an open-source CLI that runs buyer queries against ChatGPT, Claude, and Perplexity and reports which queries are winnable, source surfaces, and visibility trends. It runs on the user's own API keys, with no signup and no SaaS upsell.
Algebird is an open-source Scala library developed by Twitter that provides abstract algebra functionality for use in Scala software projects. It is hosted and maintained on the GitHub platform for collaborative development.
astroML is a Python module for machine learning and data mining built on numpy, scipy, scikit-learn, matplotlib and astropy, distributed under the 3-clause BSD license. It provides statistical and machine learning routines for analyzing astronomical data, loaders for open astronomical datasets, and examples of analyzing and visualizing datasets. The project was started in 2012 to accompany a textbook on statistics, data mining and machine learning in astronomy.
Odyssey.js is an open source tool that combines maps, narratives and other multimedia into stories. It offers templates including scrolling, slide based and temporal designs, and Actions for map movements and content display. The sandbox lets users test the library and edit story content with Markdown. It is an early-stage project developed by cartodb.com with Knight Foundation funding.
CatBoost is an open-source gradient boosting library on decision trees, developed by Yandex as the successor to its MatrixNet algorithm. It natively supports categorical features without preprocessing, offers a fast GPU implementation for large datasets, and reduces overfitting via a proprietary gradient boosting scheme. The library is used for tasks including search, recommendation systems, and weather prediction at Yandex.
Chart.js is an open source JavaScript charting library for the modern web, described as simple yet flexible. It supports eight animated and customisable chart types and renders on HTML5 Canvas across modern browsers, redrawing charts on window resize. Version 4.0 added a colors plugin and tree-shaking to reduce bundle size.
Dask is an open-source Python library for parallel computing maintained by contributors across dozens of companies. The site describes uses including Dask DataFrames for pandas, parallel for loops, large arrays with NumPy and Xarray, and machine learning. It can run on a laptop or be deployed on resource managers such as Kubernetes or cloud.
DB GPT is an open-source agentic AI data assistant developed by eosphoros-ai and hosted on GitHub, designed for use in next-generation AI and data products. It offers capabilities including agentic data analysis and autonomous SQL and code execution.
Delta Lake is an open-source storage framework designed to support the construction of a Lakehouse architecture. It is compatible with multiple compute engines including Apache Spark, PrestoDB, Flink, Trino, and Hive, as well as associated APIs.
Dimple is an open-source charting API for d3 aimed at business analytics, letting users create and combine bar, line, area and scatter charts. It exposes underlying d3 objects so analysts can build on them, and requires linking d3 before adding dimple to a page.
Feast is an open source feature store for machine learning. It manages an offline store for historical data, a low-latency online store, and a feature server. It generates point-in-time correct feature sets to avoid data leakage and provides a single data access layer abstracting feature storage from retrieval. Installable with pip and initialized through a CLI.
Gadfly is a Julia package for creating statistical graphics. Developed by GiovineItalia, it provides a grammar of graphics for generating visualizations in Julia. The repository includes documentation, examples, and installation instructions, and is open source.
Git Large File Storage (Git LFS) is an open source Git extension for versioning large files. It replaces large files such as audio samples, videos, datasets, and graphics with text pointers inside Git while storing the file contents on a remote server like GitHub.com or GitHub Enterprise. Installation is available for Windows, Mac, and Linux. Tracking file types does not convert pre-existing files, which requires the git lfs migrate command.
Multi-platform open source analytics and interactive visualization web application.
A collaboration platform where the machine learning community shares models, datasets and applications. It hosts public models, datasets and Spaces, and offers an open source stack including libraries such as Transformers, Datasets and Accelerate. It also provides paid Compute and Enterprise solutions, with an Inference Providers API giving access to models from multiple AI providers.
An R package that creates interactive Leaflet maps using the Leaflet JavaScript library and htmlwidgets. Maps can be used from the R console, RStudio, Shiny applications and R Markdown documents. It is linked to the open-source Leaflet JavaScript library for interactive maps.
LightlyTrain is an open-source GitHub repository offering all-in-one training capabilities for vision models, including YOLO, ViTs, RT-DETR, and DINOv3. It supports pretraining, fine-tuning, and distillation workflows for these model types.
LLM App is an open-source project providing ready-to-run cloud templates for retrieval-augmented generation (RAG), AI pipelines and enterprise search with live data. It is Docker-friendly and designed to stay synchronized with data sources including Sharepoint, Google Drive, S3, Kafka, PostgreSQL and real-time data APIs, hosted by pathwaycom on GitHub.
Lumen is an open-source agent framework for chatting with data and retrieval augmented generation. Its declarative data model lets LLMs generate data pipelines, SQL, charts, and dashboards, with outputs that can be inspected and edited. It also supports context embeddings and custom agents and tools.
Open-source pipeline for rewriting AI-generated text into natural human prose. The repository documents a structure-first data pipeline that builds SFT and KTO training data for an AI-to-human rewrite model, with training data construction described in its docs.
