SaihanTaki/Torchmate
A High level PyTorch Training and Utility Library
This helps deep learning practitioners quickly train and validate their neural network models using PyTorch. You provide your model, data, and training settings, and it efficiently handles the training process, providing metrics and allowing for advanced techniques like mixed-precision or gradient accumulation. It's designed for machine learning engineers and researchers who build and experiment with deep learning models.
No commits in the last 6 months. Available on PyPI.
Use this if you are a deep learning practitioner who wants to streamline the process of training PyTorch models without writing repetitive boilerplate code, while still maintaining flexibility for advanced configurations.
Not ideal if you are looking for a simple tool to deploy pre-trained models or perform basic data analysis, as it's specifically for developing and training custom deep learning models.
Stars
12
Forks
—
Language
Python
License
MIT
Category
Last pushed
Sep 16, 2025
Commits (30d)
0
Dependencies
3
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/SaihanTaki/Torchmate"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
keras-team/keras
Deep Learning for humans
Lightning-AI/torchmetrics
Machine learning metrics for distributed, scalable PyTorch applications.
Lightning-AI/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
lanpa/tensorboardX
tensorboard for pytorch (and chainer, mxnet, numpy, ...)