Decentralized Volunteer Computing Library for PyTorch
Project description
VolunTrain 🚀
VolunTrain adalah library Python ringan untuk melakukan Distributed Training (pelatihan AI terdistribusi) secara instan.
Ubah laptop teman, komputer kantor, atau warnet menjadi "GPU Farm" dadakan untuk mempercepat pelatihan model AI Anda. Cukup jalankan satu perintah, dan komputer lain bisa bergabung menggunakan Session ID.
Cocok untuk:
- Melatih model Deep Learning (PyTorch) menggunakan beberapa laptop sekaligus di satu jaringan Wi-Fi.
- Belajar tentang Distributed Systems.
- Memanfaatkan komputer nganggur di sekitar Anda.
📦 Instalasi
Clone repository ini atau install jika sudah tersedia (sesuaikan dengan cara Anda mempublikasikannya nanti):
# Masuk ke folder project
cd voluntrain-project
# Install dalam mode editable
pip install -e .
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file voluntrain-0.1.0.tar.gz.
File metadata
- Download URL: voluntrain-0.1.0.tar.gz
- Upload date:
- Size: 6.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d7d01880400f3f3731d43fe8e8482361327b3c7eb5d0c566fdca8b68817a3670
|
|
| MD5 |
8feba6adc4c0af114c19eb162b12b00a
|
|
| BLAKE2b-256 |
f3cf751db20fa6f61debdfb69f4116fe7718b2f8c0be5dc9449554bbe5e6bde4
|
File details
Details for the file voluntrain-0.1.0-py3-none-any.whl.
File metadata
- Download URL: voluntrain-0.1.0-py3-none-any.whl
- Upload date:
- Size: 6.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ca65700b2500b2c74445abbd45cf05e44d694e9396c1c7f7689d08f8034ab98c
|
|
| MD5 |
6cd74a285e9114d765ddd7d00d6a7210
|
|
| BLAKE2b-256 |
11451f821000995101f60fd4f39f1dd0ddfa4ecc81b950534deb2e0cbb778fd3
|