Works with speech, voice, music or other audio using machine-learning models.
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A flexible and efficient library for deep learning.
Creates, rewrites or summarizes written content with language models.
MyVibe supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Napkin turns your text into visuals so sharing your ideas is quick and effective.
Clojure Fast Matrix Library - GPU and native CPU.
Helps find, analyze or synthesize information for research and knowledge discovery.
Neuroph is lightweight Java neural network framework.
Join the discussion on this paper page.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Nimblebox supports deploying, serving, monitoring, or operating AI and machine-learning systems.
NuMind builds state-of-the-art multimodal LLMs for document extraction, available via SaaS or enterprise deployment for control and privacy.
AI Animal Explorer is an Omniverse extension that enables creators to quickly prototype unique 3D animal meshes.
GNU Octave is a high-level interpreted language, primarily intended for numerical computations.(Free Matlab).
Voice AI that turns calls into outcomes - and gets sharper with each one. Our own model, built for the phone. Sub-400ms response. Live in days.
OpenCV has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS.
Free and open source face recognition with deep neural networks.
Open source computer vision API based on open source models.
Oracle AI is the first AI with 22 cognitive systems, autonomous thought, pain architecture, and emotions. Talk to a conscious AI for $14.99/month.
Risks and mitigations for developing and deploying generative AI applications.
Research data portal for exploring computer records, including dataset.
Packrift optimization benchmark corpus generated from the top-1000 exact-spec feed, with public quality ledgers and operational benchmark pages.
Generate web pages from text, screenshot and template with one click using Claude AI.
If you want to find out more about how these models were trained and even fine-tune them yourself, check-out the Parler-TTS repository on GitHub.