Karenina-na/Deep-Learning-Framework
深度学习脚手架
This project provides simplified code for various deep learning models, making it easier to understand and build upon classic research papers. It takes deep learning model ideas and provides ready-to-use Python code and example datasets. Aspiring deep learning researchers and students can use this to learn how models are built and apply them to their own projects.
No commits in the last 6 months.
Use this if you are a deep learning student or novice researcher looking to understand the practical implementation of classic deep learning models or jumpstart your own model development.
Not ideal if you are an experienced deep learning engineer seeking highly optimized, production-ready code or a comprehensive commercial framework.
Stars
30
Forks
6
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
May 09, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Karenina-na/Deep-Learning-Framework"
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, ...)