Test tube python library makes running deep learning experiments and hyper parameter optimization very easy. Allows you to visualize training losses and any metric you want to track.
Lightning automates most of the ML research training details. But unlike Keras, it gives users more control which is critical in AI research. Built while doing my PhD at NYU in AI.
PyTorch Lightning empowers researchers and startups to run AI models on 100s of GPUs using the latest best practices. It's built for fast idea prototyping, deployment and reproducibility.
Lightning is part of the official Pytorch Ecosystem
The lightweight PyTorch wrapper for high-performance AI research. Scale models, not boilerplate.
Lightning is one of the most popular deep learning frameworks. Unlike Keras it gives full flexibility. Unlike PyTorch it does not need a ton of boilerplate.
Start a GPU Studio in seconds. Change GPUs in the same environment. Train models. Serve. Prep data. Code on the browser. Connect your local IDE. Share files. Code together. Host and share Streamlit, Gradio and React.js apps.
