pypi.org : pytorchautoforge
PyTorchAutoForge library is based on raw PyTorch and designed to automate DNN development, model tracking and deployment, tightly integrated with MLflow and Optuna. It supports Spiking networks libraries (WIP). Deployment can be performed using ONNx, pyTorch facilities or TensorRT (WIP). The library is designed to be compatible with Jetson Orin Nano Jetpack rev6.1, with bash script to automatically configure virtualenv.
Registry
-
Source
- Documentation
- JSON
purl: pkg:pypi/pytorchautoforge
Keywords:
algorithm
, automl
, data-science
, distributed-systems
, equation-discovery
, evolutionary-algorithms
, explainable-ai
, genetic-algorithm
, interpretable-ml
, julia
, machine-learning
, python
, scikit-learn
, symbolic
, symbolic-regression
License: MIT
Latest release: 3 months ago
First release: 3 months ago
Downloads: 338 last month
Stars: 2,721 on GitHub
Forks: 239 on GitHub
Total Commits: 2197
Committers: 29
Average commits per author: 75.759
Development Distribution Score (DDS): 0.104
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Last synced: 1 day ago