Prompt Engineering Guide is a GitHub repository or organization with source code, releases, documentation, or project resources.
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(Non-)Human — an art installation exploring the semi-human, semi-object territory.
Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
Cleanlab supports software development with code generation, analysis, debugging, or documentation.
Cross platform wrapper of OpenCV which can be compiled in Mono to be run on Windows, Linus, Mac OS X, iOS, and Android.
OpenCV has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS.
PyGPT is an open‑source desktop AI assistant for Windows, macOS and Linux. Chat, agents, web search, run Python, TTS/STT, plugins, long‑term memory.
Documentation for OpenAI Guide, covering setup, features, and practical usage.
A guide to MLOps provides AI-assisted learning, courses, tutorials, or study support.
A simple guide to fine-tuning Llama 2 Brev docs provides machine-learning models, research, training resources, or evaluation tools.
A Traveler's Guide to the Latent Space creates or edits images with generative AI and text-based controls.
Documentation for Fine Tuning Guide, covering setup, features, and practical usage.
Guidelines for Human-AI Interaction - Microsoft Research supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
Documentation for LLM Evaluation Clarifai Guide, covering setup, features, and practical usage.
Download this free LLM Testing Guide.
MLOps Guide supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Prompt Engineering Guide catalogs AI services and resources for browsing by feature or use case.
The Art of ChatGPT Prompting: A Guide to Crafting Clear and Effective Prompts creates or edits images with generative AI and text-based controls.
The Guide to LLM Evaluation Deci provides machine-learning models, research, training resources, or evaluation tools.
Ambrosia helps you clean up your LLM datasets using other LLMs.
Turn simple shots into photoshoot-quality images. Realistic lifestyle scenes, on-model photos, clean cutouts. Detail-first results.
Python library for data-centric AI and machine learning with messy, real-world data and labels.
Remove unwanted objects from photos, people, text, and defects from any picture for free. It.
Collect, clean and visualize your data in Python.