Skip to main content

A simple PyTorch framework for quick neural network prototyping

Project description

🧠 ntorch

ntorch 是一个轻量级的 PyTorch 框架,旨在帮助开发者快速构建神经网络原型。它支持多层感知机(MLP)、卷积神经网络(CNN)、强化学习(DQN)和生成对抗网络(GAN),并提供自动模型构建、训练流程封装以及可视化工具。


📦 安装

确保你已安装 Python 3.8 或更高版本,并安装依赖:

pip install torch torchvision matplotlib gym

然后克隆仓库并本地安装:

git clone https://github.com/safe049/ntorch.git
cd ntorch
pip install -e .

🤝 贡献指南

欢迎提交 PR 和 Issue!


📄 License

MIT License – See LICENSE for details.


📬 联系作者

GitHub: @safe049
Email: safe049@163.com


Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ntorch-1.0.0.tar.gz (8.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ntorch-1.0.0-py3-none-any.whl (10.2 kB view details)

Uploaded Python 3

File details

Details for the file ntorch-1.0.0.tar.gz.

File metadata

  • Download URL: ntorch-1.0.0.tar.gz
  • Upload date:
  • Size: 8.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.3

File hashes

Hashes for ntorch-1.0.0.tar.gz
Algorithm Hash digest
SHA256 82d897846895ec766bdac346ba5b10bd07ca8611d32188b789e5ae9afc0d8aae
MD5 91f378132535defbaaa050f33c9ebb1d
BLAKE2b-256 6212c6d2a81f0db0369a929c0531bbb490bfbc243d413edb452846c80b7dd19e

See more details on using hashes here.

File details

Details for the file ntorch-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: ntorch-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 10.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.3

File hashes

Hashes for ntorch-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 0e3420d8bdadfe931124a5acc0850beabe3964e74cc9833085c79d57bdd2991b
MD5 ee8748246faa79eb5c6660e60ad6c9c1
BLAKE2b-256 bf1e262b85c8b444cddd597bf85ed3122e14e6e967e93f1d1a2bde1331c4f260

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page