Skip to main content

Many useful tools for PyTorch.

Project description

TorchServant is an assembly helping quickly development for PyTorch users.It contains following components: modelservant: Manage weights files and checkpoints, keep training process continuous. procmonitor: API for visdom and tensorboard, visualize diagrams, illustrations and progresses. stats Resource statistics on GPUs, memories, cpu, and consumed time. classicmodels: Include AlexNet, VGG, Resnet, Inception, etc. visualfeature: Visualize feature maps during training and evaluation process. weightransfer: An Qt-based visual tool to transfer weights between different models.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for torchservant, version 0.2.2
Filename, size File type Python version Upload date Hashes
Filename, size torchservant-0.2.2-py3-none-any.whl (43.0 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size torchservant-0.2.2.tar.gz (15.3 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page