tiny-cuda-nn and neural-network-cuda
With tool A being a lightning-fast framework and tool B being a neural network built from scratch, they are **competitors**, as both offer implementations of neural networks using CUDA/C++, but A appears to be a more mature and performant solution.
About tiny-cuda-nn
NVlabs/tiny-cuda-nn
Lightning fast C++/CUDA neural network framework
Tiny CUDA Neural Networks helps deep learning engineers efficiently train and query neural networks, particularly Multi-Layer Perceptrons. It takes neural network configurations and training data, and outputs trained models ready for inference. This framework is designed for developers building high-performance deep learning applications that require fast model training and inference.
About neural-network-cuda
BobMcDear/neural-network-cuda
Neural network from scratch in CUDA/C++
This project offers a foundational guide to building neural networks from scratch using CUDA/C++. It provides basic building blocks like linear layers, ReLU activation, and MSE loss, allowing you to understand the inner workings of deep learning models. This is for developers interested in learning the low-level mechanics of GPU programming for deep learning.
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