PyTorch layer-by-layer model profiler
awwong1/torchprof की मुख्य विशेषताएं हैं: डेवलपर टूल्स, Training and Utilities, PyTorch Utilities।
awwong1/torchprof के ओपन-सोर्स विकल्पों में शामिल हैं: lanpa/tensorboard-pytorch — This project is a machine learning experiment tracker and event file generator that enables the recording of scalars,… ncullen93/torchsample — Train AI models efficiently on medical images using any framework. ecs-vlc/torchbearer — torchbearer: A model fitting library for PyTorch. henryre/pytorch-fitmodule — Super simple fit method for PyTorch Modules. catalyst-team/catalyst — Accelerated deep learning R&D. pytorch/ignite — Ignite is a high-level training framework for PyTorch neural networks that serves as a training engine and deep…
This project is a machine learning experiment tracker and event file generator that enables the recording of scalars, images, and histograms to monitor model performance. It functions as an integration bridge that allows training metrics from PyTorch to be logged into files compatible with the TensorBoard dashboard. The system includes a remote log synchronizer designed to stream experiment data to cloud services. This allows for the remote management and analysis of training results and the comparison of datasets across different training runs. The utility covers a broad range of monitoring
