If you're looking for an open-source library that makes it easier to create and train NeRF models, Nerfstudio is a great option. This modular API offers a straightforward interface for exploring Neural Radiance Fields, with built-in methods like Nerfacto, Instant-NGP and Mip-NeRF. It also accommodates third-party methods, so it's good for both casual exploration and serious research. With a community-driven approach and abundant documentation, Nerfstudio is a great option for developers of all skill levels.
If you're looking for a more comprehensive, end-to-end platform that includes generative AI support and tools to manage the machine learning lifecycle, check out MLflow. Although it's not specifically geared for NeRF, MLflow is a unified environment for running experiments, deploying models and tracking metrics. It supports deep learning libraries like PyTorch and TensorFlow, so it's a good choice for managing the entire ML project lifecycle.