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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for torchservant-0.2.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 25061754a6e5a3fb6858bb5ca0d84092b291d2b3a19d7b6706bbdea1e9ee9073 |
|
MD5 | 13b2e4f67650d934c9de5ec2e8dfbd36 |
|
BLAKE2b-256 | ff3ce97aa64f32b7e5d8d6ccd3db74199441d9a1f7df9a4107a9c126fe9a369e |