Kapwing AI Video Editor uses AI to create, edit, transform, or animate video content.
Directory
AI & Machine Learning
AI and Machine Learning covers the tools, models, and services built around machine learning. Models and machine learning holds model hubs, playgrounds, and training resources. AI image generation collects text-to-image tools, editors, and prompt libraries, while audio and speech covers transcription, voice, and music generation. AI coding and development lists assistants, code review tools, and developer utilities, and AI agents and automation brings together workflow builders and task tools. AI data and analytics holds platforms for labelling, monitoring, and evaluating models. Many listings are open source projects rather than hosted services, so check what you get and what it costs before you depend on one. We do not independently test each tool, and a Shout shows member support rather than a quality score. Imported listings do not start with an assigned owner or price.
An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
Rendering beautiful SVG maps in Python.
Kubernetes-based system for hyperparameter tuning and neural architecture search.
Katonic supports AI agents, automated workflows, orchestration, or delegated tasks.
Kaveen Kumarasinghe - founder of GPT Discord - website provides machine-learning models, research, training resources, or evaluation tools.
Data Mining, Analytics, Big Data, Data, Science not a blog a portal.
KDP Readiness Score creates or edits images with generative AI and text-based controls.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
Keenious recommends relevant academic literature based on the text you are working on. Works in Microsoft Word, Google Docs, and the browser.
Version control for machine learning with support to Amazon S3 and Google Cloud Storage.
Keploy supports software development with code generation, analysis, debugging, or documentation.
Keras provides machine-learning models, research, training resources, or evaluation tools.
A beginner-friendly guide on using Keras to implement a simple Neural Network in Python.
A python package that integrates an LLM copilot inside the keras model development workflow.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Run Keras models in the browser, with GPU support provided by WebGL 2.
Easy-to-use, scalable hyperparameter optimization framework.
Kernel density estimators for Julia.
Key differences of a data scientist vs. data engineer applies AI to data analysis, extraction, visualization, or business intelligence.
Respan unifies LLM observability, evals, prompt optimization, and an AI gateway so teams can ship reliable AI applications.
Kubernetes custom resource definition for serving ML models on arbitrary frameworks.