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Train AI models efficiently on medical images using any framework
The main features of ncullen93/torchsample are: Developer Tools, Model Utilities and Tools, Training and Utilities, PyTorch Utilities.
Projects with overlapping indexed features include: lanpa/tensorboard-pytorch — This project is a machine learning experiment tracker and event file generator that enables the recording of scalars,… henryre/pytorch-fitmodule — Super simple fit method for PyTorch Modules. dnouri/inferno — A scikit-learn compatible neural network library that wraps PyTorch. cogitare-ai/cogitare — 🔥 Cogitare - A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python. awwong1/torchprof — PyTorch layer-by-layer model profiler. catalyst-team/catalyst — Accelerated deep learning R&D.
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
🔥 Cogitare - A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python
