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Published directory entries matching your search.
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.
DevOpsGPT is a multi-agent system for AI-driven software development. It combines large language models with DevOps tools to convert natural language requirements into working software, supporting any development language and extending existing code.
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.
Repository containing references and code for the book Distributed Machine Learning Patterns from Manning Publications by Yuan Tang. The book covers applying patterns to build scalable and reliable machine learning systems, constructing pipelines with data ingestion, distributed training and model serving, and automating tasks with Kubernetes, TensorFlow, Kubeflow and Argo Workflows.
Dosu is knowledge infrastructure for engineering teams and the coding agents they work with. It keeps documentation, specifications and agent memory current with code changes, and connects to tools such as GitHub, GitLab, Slack, Notion and Confluence. A free plan covers public repositories with 200 credits per month; the Pro plan is listed at $16/month with 4,000 credits per month.
dplyr is an R package providing a grammar of data manipulation with a consistent set of verbs, including mutate(), select(), filter(), summarise() and arrange(), which combine with group_by(). It is designed to abstract over how data is stored, so the same R code works with local data frames and remote database tables via the dbplyr package.
A Java scientific and numerical library written by Michael Thomas Flanagan to support his research and undergraduate programming courses. It is distributed as the flanagan.jar package and includes general classes, example programs and arbitrary precision methods. The author has retired and states it will be updated less frequently. Commercial use, public listing of source codes and redistribution are not permitted.
This GitHub repository hosts the official code for DragGAN, a project presented at the SIGGRAPH 2023 conference under the title 'Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold'. The repository includes links to web demos, requirements documentation, and instructions for running a Gradio visualizer in Docker.
An article presenting initial impressions of DSPy, a framework developed by the Stanford NLP group for algorithmically optimizing language model prompts. The author describes DSPy as closing the loop of prompt engineering by turning a manual process into a structured machine learning workflow. The piece notes it is not a substitute for the official documentation and covers topics such as teleprompter, optimization, compile, bootstrapping and metric functions.
GitHub account of Derrick Schultz, an artist who uses code, describing most of the work as not production level. Listed repositories include ml-art-colabs, a list of Machine Learning Art Colabs, and dataset-tools, tools for quickly normalizing image datasets.
Supports software work with AI-assisted coding, testing or application development.
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.
Effective Python: 125 Specific Ways to Write Better Python, 3rd Edition is a book by Brett Slatkin, published by Pearson Addison-Wesley in November 2024. It expands on the second edition from 90 to 125 best practices for writing Python code, adds new chapters on robustness and performance, and covers the language through Python version 3.13.
Supports software work with AI-assisted coding, testing or application development.
Epsilla is an agent-as-a-service platform for enterprises to build, deploy and manage custom AI agents without coding. It offers a no-code agent builder, RAG as a service, multi-tenancy, analytics and A/B testing, with SaaS, on-premise or private cloud deployment. The site also describes HarnessRouter, a unified Agent API for running multiple agent harnesses.
A blog post summarizing a University of Illinois study on solo performance prompting (SPP), a prompt engineering method in which an LLM summons multiple personas that collaborate on a task. The post describes the SPP prompt structure and reports on three experiments: Trivia Creative Writing, Codenames Collaborative, and Logic Grid Puzzle.
ImageBind is a PyTorch implementation with pretrained models from FAIR, Meta AI. It learns a joint embedding across six modalities: images, text, audio, depth, thermal, and IMU data. The release includes code and model weights under the CC-BY-NC 4.0 license.
Build faster with AI coding agents. Factory Droids automate coding, testing, and deployment for startups and enterprises.
Falcon-40B-Instruct is a 40B parameter causal decoder-only model built by TII based on Falcon-40B and finetuned on a mixture of Baize, released under the Apache 2.0 license. It is intended as a ready-to-use chat and instruct model, and the card notes it may not be ideal for further finetuning. The model is trained mostly on English data, and users are advised to take precautions for production use.
fast.ai is a project that publishes courses and software for deep learning, including Practical Deep Learning for Coders and the fastai library for PyTorch. The site also hosts blog posts on education, AI in society, and technical topics.
FastChat is an open platform for training, serving, and evaluating large language model based chatbots. Its core features include training and evaluation code for models such as Vicuna and MT-Bench, and a distributed multi-model serving system with a web UI and OpenAI-compatible RESTful APIs.
Ultravox is a real-time voice AI infrastructure layer for building voice agents. It trains a speech-native model and manages its own inference and infrastructure stack. The site offers developer-friendly APIs and agentic-ready primitives intended for natural, conversational voice agents. Ultravox has been acquired by Inworld. Pricing lists pay-as-you-go at $0 per month with the first 30 minutes free and $0.05 per minute after that.
Flama is a production framework for predictive and generative AI. It enables serving any machine learning model as an API with a single line of code, and offers OpenAI, Anthropic, and Ollama-compatible endpoints, a built-in chat user interface, and native MCP support.
FlexApp is an AI mobile app designer offered by GenDesigns that generates polished mobile user interface screens from text descriptions of app ideas. The tool requires no prior Figma experience or design skills to use, and provides access to a library of public community app and template projects. It is designed to streamline the mobile app UI creation process.
