Julius provides machine-learning models, research, training resources, or evaluation tools.
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.
Juno crafts studies, leads interviews, and reveals the why — customer research run by AI.
Open-source project that provides conversational AI for questions, tasks, and general assistance.
Jupyter Notebook applies AI to data analysis, extraction, visualization, or business intelligence.
Jupyter notebook is a web-based notebook environment for interactive computing.
Notebook with examples of using Jupyter Widgets in Colab, allowing interactive inputs.
Supports workplace tasks, documents, meetings or business operations with AI.
The next-generation user interface for Project Jupyter.
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts.
A collection of pre-trained StyleGAN 2 models to download.
Clojure wrapper for deeplearning4j with some added syntactic sugar.
Kadoa provides machine-learning models, research, training resources, or evaluation tools.
Code for the Kaggle acquire valued shoppers challenge.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Winning solution for the Galaxy Challenge on Kaggle.
Supports software work with AI-assisted coding, testing or application development.
Supports software work with AI-assisted coding, testing or application development.
Supports software work with AI-assisted coding, testing or application development.
Supports software work with AI-assisted coding, testing or application development.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Open-source project that uses AI for speech, voice, transcription, music, or other audio workflows.
Aims at simplifying the Data Science experience of deploying Kubeflow Pipelines workflows.
A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.
A curated list of resources of audio-driven talking face generation.