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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.

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Activity

Latest release
6mo ago
Total releases
18
Cadence
~5 days
Last 12 months
8

Details

License
MIT
First release
Jan 27, 2025
Releases
Version Released
0.6.0 minor
0.5.0 minor
0.4.3 patch
0.4.2 patch
0.4.1 patch
0.4.0 minor
0.3.0 minor
0.3.1.dev0 pre
0.2.1 patch
0.2.0 minor
0.2.1.dev0 pre
0.2.1.dev10 pre
0.1.3 initial
0.1.2.post1.dev1 pre
0.1.2.post1.dev0 pre
0.1.0b1 pre
0.1.0a1 pre
0.1.0a0 pre