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From data preparation to deployment, SOTA provides the tools you need to build, optimize, and integrate your deep learning models seamlessly. Explore how SOTA can streamline your next AI project.

Toolkits

Deep Learning

A comprehensive solution for training, optimizing, and deploying deep learning models, integrating ONNX Runtime for multi-platform compatibility and enhanced performance.

Computer Vision

Designed for computer vision tasks, this toolkit simplifies segmentation, object detection, and tracking with integrated annotation and image processing tools.

Accelerator

An optimized environment for leveraging GPU power, enabling accelerated inference and model optimization through standards like TensorRT and ONNX.

GenAI

Specifically designed to generate content with generative AI models, such as text and images, seamlessly integrating into industrial and academic workflows.

Robitics

A suite of tools for simulation, control, and integration of robotic systems, with advanced applications in vision and planning.

Tools

FIG

An interactive graphical tool based on LabVIEW, designed to simplify model development and real-time visualization.

LMS

An integrated learning platform to track, manage, and enhance training processes in AI and new technologies.

Annotator

A modular creation environment to assemble, optimize, and test complex model architectures without coding.

Builder

An intuitive tool for annotating and preparing datasets, essential for creating accurate and robust models.

Data

A centralized solution for managing, processing, and analyzing large datasets, tailored to various use cases.

Environment

Super Mario

A playful environment based on the iconic game, used for research in reinforcement learning and artificial intelligence.

ViZDoom

An immersive platform for testing AI algorithms in first-person shooter simulation environments.

Gymnasium

A modern extension for OpenAI Gym, offering a wide variety of reinforcement learning environments.

Atari

A collection of iconic games used to train and evaluate machine learning models.

Highway

A realistic simulator for developing AI algorithms applied to autonomous vehicles and mobility.

Stable Retro

A retro-optimized environment for exploring AI models on classic games and systems, focusing on stability and reproducibility.