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FreeGrad is a PyTorch extension for experimenting with alternative backward rules and gradient transforms on top of standard autograd. It lets you plug in custom backward rules (e.g. STE-like tricks, gradient jamming, custom clipping), decouple forward activations from backward passes, and prototype research ideas on learning dynamics without forking or patching PyTorch.