Visualization of hidden layer activations of small multilayer perceptrons (MLPs)
MIT License
No README available, please check again later.
Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less...
An implementation of masked language modeling for Pytorch, made as concise and simple as possible
Implementation of the Point Transformer layer, in Pytorch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and al...
Implementation of Neural Networks from Scratch Using Python & Numpy
TensorFlow2 Implementation of LambdaNetworks
GPT, but made only out of MLPs
Causal tracing for language models
Code to accompany the paper "AMP-Inspired Deep Networks for Sparse Linear Inverse Problems"
Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch
Extends scikit-learn with new models, transformers, metrics, plotting.
Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelli...
Useful additional layers for PyTorch.
Implementation of ResMLP, an all MLP solution to image classification, in Pytorch
Neural network visualization toolkit for tf.keras