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DALL·E Mini is a project for generating images from a text prompt. The repository provides installation for inference and development, a training script, and links to trained models on the Hugging Face Model Hub. The model can be used on Craiyon, and community projects include DALL-E Playground and DALL·E Flow. It is released under the Apache-2.0 license.
Darknet is an open source neural network framework written in C and CUDA that supports CPU and GPU computation. The repository also references YOLO object detection work, including YOLOv7 and Scaled-YOLOv4 papers and source code.
Open-source interface and API project for searching indexed onion content.
Dash is an open-source Python library for building data applications and dashboards without requiring JavaScript expertise. It is maintained by Plotly and hosted on the company's public GitHub repository, where users can access source code and contribute to the project.
daspartho/prompt-extend is a publicly hosted GitHub repository for a tool that extends Stable Diffusion prompts with appropriate style cues using text generation. The repository includes documentation for usage, code files, example prompts, and contribution guidelines for the project.
Data Driven Code is a GitHub repository containing code from a PyCon Canada 2016 session. The repository provides resources and examples related to data-driven programming techniques presented at the conference.
ReadStat.jl, listed as Data Read, is an open-source Julia library for reading data files in Stata, SAS, and SPSS formats. The project is hosted on GitHub under the queryverse organization, where users can access source code and contribute to its development.
Data Science For Beginners is a public curriculum repository hosted on GitHub by Microsoft. It provides a 10-week, 20-lesson data science learning program designed for all skill levels. The repository includes documentation for getting started and offers multi-language support for learners.
A public GitHub template repository for data science lifecycle projects. It provides a default directory structure including folders for code, data, docs, environments, notebooks, pipelines and tests, plus issue templates and a .github labels file. The source describes it as a launch-off point with minimal opinions. One manual step is creating labels from the labels file.
Data-to-paper: AI-driven research from data to human-verifiable research papers.
DataComPy is a package for comparing two DataFrames or tables. It supports Pandas, Polars, Spark (classic and Spark Connect), and Snowflake, and was originally created as a replacement for SAS PROC COMPARE for Pandas DataFrames. It prints stats and lets users adjust required match accuracy.
DataDeps.jl is a Julia package designed to facilitate reproducible data setup for scientific research. It manages data dependencies and includes features such as progress callbacks. The repository is maintained on GitHub.
dataframe-go is a public software repository hosted on GitHub by rocketlaunchr. It provides DataFrame functionality for the Go programming language, designed to support statistics, machine learning, and data manipulation or exploration tasks.
DataFrames.jl is a Julia library that provides in-memory tabular data structures for data manipulation and analysis. It is developed by the JuliaData organization and its source code is hosted on GitHub.
LinkedIn's generalized metadata search & discovery tool.
A lightweight framework for data analysis in JavaScript.
Collect, clean and visualize your data in Python.
DataPup is an open-source, AI-assisted, cross-platform database client built with Electron and powered by LangChain for AI assistance. It currently supports ClickHouse and PostgreSQL, with MySQL and SQLite listed as coming soon. It is released under the MIT license.
A GitHub Repository Where you can Learn Datavisualizatoin Basics to Intermediate level.
Datumbox is an open-source machine learning framework written in Java for rapid development of machine learning and statistical applications. It focuses on including many machine learning algorithms and statistical methods and on handling large datasets. The code is licensed under the Apache License, Version 2.0, and releases are available on Maven Central, including version 0.8.2.
Devika is an open-source implementation of an Agentic Software Engineer, initially started as an alternative to Devin. It uses large language models, planning and reasoning algorithms, and web browsing to develop software from human instructions. The project is in an early experimental stage, and the repository notes that there are unimplemented or broken features.
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.
DEAP is an evolutionary computation framework for Python aimed at rapid prototyping and testing of ideas. It provides genetic algorithms over representations such as lists, arrays, sets, dictionaries, trees and Numpy arrays, genetic programming with prefix trees, evolution strategies including CMA-ES, multi-objective optimisation, and co-evolution of multiple populations. It supports parallelisation via multiprocessing and SCOOP and works out of the box with Python 3 since version 0.8.
Decision Tree Classifier and Regressor.
