Atharva-Phatak/torchflare
TorchFlare is a simple, beginner-friendly, and easy-to-use PyTorch Framework train your models effortlessly.
This framework helps machine learning practitioners efficiently train deep learning models for tasks like image or text classification. You provide your datasets and define your neural network architecture, and it handles the complex training process, including metrics and callbacks. It outputs a trained model ready for deployment or further analysis. Data scientists, machine learning engineers, and researchers can use this to streamline their model development.
Available on PyPI.
Use this if you are a data scientist or machine learning engineer looking for a simplified, Keras-like experience to train your PyTorch models with less boilerplate code.
Not ideal if you need extensive, low-level control over every aspect of the PyTorch training loop or require advanced distributed training features like DDP or TPU support right now.
Stars
84
Forks
6
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
Dependencies
7
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