High-quality text-to-speech and voice recognition.
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Autograd and XLA for high-performance machine learning research.
Create high-quality AI videos and images with Kling AI. Turn text, images, and references into multimodal creative content in one studio.
A high performance, memory efficient, maximally parallelized ensemble learning, integrated with scikit-learn.
A model by Google Research for generating high-fidelity music from text descriptions.
Ncnn is a high-performance neural network inference framework optimized for the mobile platform.
An Easy-to-Use and High-Performance AI deployment framework.
Create stunning AI images and videos instantly. Professional AI generator, upscaler, and editing tools. Transform text into high-quality visuals.
GNU Octave is a high-level interpreted language, primarily intended for numerical computations.(Free Matlab).
Distributed, masterless, high performance, fault tolerant data processing. Written entirely in Clojure.
A high-quality tool for convert PDF to Markdown and JSON.
A PyTorch-based framework to train and validate the models producing high-quality embeddings.
A library providing high-performance, easy-to-use data structures and data analysis tools.
Persuva is the AI-driven platform to create persuasive, high-converting ad copy at scale.
Engage with relevant posts, get your posts highlighted for engagement, and distribute them to your audience.
The lightweight PyTorch wrapper for high-performance AI research.
Highest-end Qwen model for reasoning-heavy and complex agent workloads.
Bayesian optimization in high-dimensions via random embedding.
Generate full-length songs in seconds with Remusic - a free AI music generator that generates high-quality tracks up to 4 minutes long instantly.
Produces high quality object masks from input prompts such as points or boxes, and it can be used to generate masks for all objects in an image.
High performance distributed data processing in NodeJS.
Flexible, high-performance serving system for machine learning models.
The Pile is a 825 GiB diverse, open source language modelling data set that consists of 22 smaller, high-quality datasets combined together.
Creates or edits images with generative models and visual controls.