Annotation Lab supports software development with code generation, analysis, debugging, or documentation.
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Cognition Labs supports AI agents, automated workflows, orchestration, or delegated tasks.
Google Labs catalogs AI services and resources for browsing by feature or use case.
Google Labs FX catalogs AI services and resources for browsing by feature or use case.
LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
r/labsdotgoogle points to a Reddit community or thread with discussion, updates, troubleshooting, or shared resources.
List of AI tools suggested by lablab.ai for their hackathons.
Add various helper functions in Jupyter Notebooks and Jupyter Lab, powered by ChatGPT.
Python library for data-centric AI and machine learning with messy, real-world data and labels.
Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms.
Analyzes structured data and helps produce queries, insights or visualizations.
Text-to-image models by Black Forest Labs with high-quality photorealistic output. opensource.
Topaz Labs: AI Image Quality Software: "professional grade workflow, with many features" (this is an affiliate link by nejcsusec.beehiiv.com).
Open-source all-in-one platform for engineering AI products. Traces, Evals, Datasets, Labels.
Open source applied AI lab building next-gen devtools.
An open source implementation of methods for multi-label classification and evaluation (extension to Weka).
Portable annotation tool for creating labeled datasets.
Prisma Labs builds delightful AI photo and video apps used by millions — Lensa and Prisma. Great results in a matter of seconds, no skills required.
Tribuo is a Java ML library for multi-class classification, regression, clustering, anomaly detection and multi-label classification.
TwelveLabs delivers enterprise video AI powered by multimodal intelligence. Search, analyze, and understand video across vision, audio, and language.
AutoML algorithm tool chain by Huawei Noah's Arb Lab.
Works with speech, voice, music or other audio using machine-learning models.
A comprehensive testing and evaluation framework for voice agents across language models, prompts, and agent personas.