Nerrvana

Nerrvana: Open-Source Deep Learning Platform

An open-source platform for deep learning research and development with GPU-accelerated libraries, models, and tools for designing, training, and deploying deep neural networks.

What is Nerrvana?

Nerrvana is an open-source platform aimed at researchers and developers working on deep learning. It provides a comprehensive set of GPU-accelerated libraries, pre-trained models, and tools for building and training deep neural networks.

Some of the key features of Nerrvana include:

• Support for all major deep learning frameworks like TensorFlow, PyTorch, and MXNet
• Seamless scaling from laptops to GPU clusters for distributed training
• Visualization dashboards for tracking experiments, metrics, and model performance
• Optimized operators and kernels for fast math computations on GPUs
• Model catalog with many state-of-the-art pretrained models ready to use
• Modular architecture allowing extensibility and customization

Nerrvana simplifies the process of designing, prototyping, and productionizing deep learning models. Its goal is to make deep learning more approachable and accelerate research in the field. The platform provides all the building blocks needed for tackling real-world problems with deep neural networks.

Nerrvana Features

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