Pytorch-Project-Template and Deep-Learning-Project-Template

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 25/25
Stars: 918
Forks: 191
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 1,391
Forks: 295
Downloads:
Commits (30d): 0
Language: Python
License:
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About Pytorch-Project-Template

moemen95/Pytorch-Project-Template

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

This project provides a structured foundation for building PyTorch deep learning models efficiently. It takes in raw data and hyperparameters to produce trained models for tasks like image segmentation, object classification, generative adversarial networks (GANs), and reinforcement learning. Researchers and machine learning engineers who develop and experiment with various PyTorch deep learning architectures would find this beneficial.

deep-learning-research image-segmentation object-classification generative-modeling reinforcement-learning

About Deep-Learning-Project-Template

L1aoXingyu/Deep-Learning-Project-Template

A best practice for deep learning project template architecture.

This project provides a pre-structured framework for deep learning projects using PyTorch. It helps deep learning practitioners organize their code for tasks like image classification, object detection, or natural language processing by offering a standardized folder structure and best practices. You provide your specific model architecture and training logic, and the template handles the boilerplate setup, accelerating the start of new deep learning experiments and applications.

deep-learning-engineering machine-learning-research pytorch-development model-training-pipeline mlops-starter-kit

Scores updated daily from GitHub, PyPI, and npm data. How scores work