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Published directory entries matching your search.
CodeRabbit is an AI-first pull request reviewer. It provides context-aware feedback, line-by-line code suggestions, real-time chat, and agentic change management features including PR triage, code explainability, and security monitoring for agent outputs.
OpenAI’s platform for agentic coding workflows and automated software development tasks.
Cognitive Class AI by IBM is a free online learning platform. It offers over 100 courses, 300 hands-on projects and 20 learning paths covering AI, cloud computing, full-stack development, cybersecurity, data science and other technology fields. Learners can earn certificates and badges, and the platform serves over 3 million learners.
Config Manager, part of OpenCode Studio, is a visual configuration management tool for OpenCode. It provides a modern dashboard that allows users to configure MCP servers, skills, plugins and AI agents.
CorpusLoaders is a Julia package that provides a variety of loaders for different natural language processing (NLP) corpora, maintained by JuliaText and hosted on GitHub. It simplifies accessing and loading diverse NLP datasets for research and development use cases.
ctop is a GitHub repository maintained by aakashadesara. It is an interactive process viewer for AI coding agents, with documentation covering its features, installation process, keyboard shortcuts, and pinned sessions.
Dagster is an open source, cloud-native data pipeline orchestrator for the data development lifecycle, with integrated lineage and observability. Users declare data assets as Python functions, and Dagster runs them and keeps assets up to date. It is designed for developing and maintaining data assets such as tables, data sets, machine learning models, and reports.
Free 3-month individual subscription to learn data science and AI skills.
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.
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.
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.
DeepSWE is a GitHub repository that provides a benchmark for measuring the performance of frontier coding AI agents on original, long-horizon engineering tasks. The repository includes documentation on task format, quickstart guides, and details about supported agents and models.
DeepPavlov is an open-source library for deep learning end-to-end dialog systems and chatbots. Version 1.0 is described as an NLP framework built on PyTorch and transformers for modular, configuration-driven development of NLP models, intended for practitioners with limited NLP/ML knowledge. It supports Linux, Windows 10+ through WSL/WSL2, and MacOS Big Sur+ on Python 3.6 to 3.10.
DeepSeek Coder is a series of open code language models trained from scratch on 2T tokens, composed of 87% code and 13% natural language in English and Chinese. Models are offered in 1B, 5.7B, 6.7B and 33B sizes, pre-trained on project-level code corpora with a 16K window size and a fill-in-the-blank task for completion and infilling.
DeepSWE is a benchmarking platform that evaluates frontier coding agents on original, long-horizon software engineering tasks. It provides a public leaderboard, task examples, and tracks results across 113 tasks, 91 repositories, 5 programming languages, and 28 models.
DemoGPT is a tool that enables users to create agentic applications using prompts. It provides all components required for LLM agent development, including tools, prompts, frameworks, and models, in a single package.
Design Arena is a global crowdsourced benchmark for AI-generated design. It allows users to challenge, vote on, and crown winning design outputs, access category-specific leaderboards for assets including websites, slides, images, video, audio, and code, and use top AI models to generate a wide range of design and development assets. Millions of users across over 190 countries use the platform to discover and compare AI model capabilities.
Devin is an AI coding agent and software engineer that helps developers build better software faster. It runs in the cloud or on a machine, tests in its own browser, and works from problem to merged pull request. Plans include Free, Pro, Max, Teams, and Enterprise.
Devv is a native AI coding agent designed for indie builders and small teams to develop full-stack AI-powered products. It offers native integrations and eliminates the need for glue code to help users ship products quickly.
Dify is an open-source LLM app development platform with a visual canvas for AI workflows and RAG pipelines, plus model management and observability. It can be deployed on cloud, VPC, or self-hosted, and integrates with proprietary and open-source LLMs.
DigitalOcean describes an AI-native cloud platform with a unified stack for agents, inference and cloud infrastructure. Products listed include Managed Agents, Learning Services, Data Services, an Inference Engine with over 75 models, and core cloud services such as Droplets, Kubernetes and App Platform. Harness Runtime is listed starting at $0.0535/hr for durable cloud sandboxes for AI coding agents.
E2B is an open-source, secure environment built with real-world tools for use with enterprise-grade AI agents. The project's GitHub repository includes documentation for installing the E2B SDK, obtaining an API key, and running sandboxed environments to execute commands. The repository accepts community contributions.
Early days of AI is a blog post by Elad Gil that discusses the early development of machine learning systems and the AI hype cycle. Gil argues that recent advances like transformers and diffusion models represent a new era, distinct from previous AI. He draws on his experience at Google, Twitter, and as an investor.
Machine learning development environment for data science and AI/ML engineering teams.
