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Awesome Deep Phenomena ⭐ 158

A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...

A fast, effective data attribution method for neural networks in PyTorch

Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural network models (and their initializations) to make them easier to train.

Eigenlearning ⭐ 45

codebase for "A Theory of the Inductive Bias and Generalization of Kernel Regression and Wide Neural Networks"

Lossless_compression ⭐ 21

We propose a lossless compression algorithm based on the NTK matrix for DNN. The compressed network yields asymptotically the same NTK as the original (dense and unquantized) network, with its weights and activations taking values only in {0, 1, -1} up to scaling.

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