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mugs

Mugs

nano-gpt

a clone of Andrej Karpathy's nano-gpt implementation

nonnormal-init

Sequential non-normal initializers for recurrent neural networks

numerical-fisher

Numerical optimization of Fisher information for a parametrized population code

ood-benchmarks

Out-of-distribution generalization benchmarks for image recognition models

optimal-feedback

Learning the optimal feedback matrices for backpropagation

optimized-mae

An optimized implementation of masked autoencoders (MAEs)

optimized-stmae

An optimized implementation of spatiotemporal masked autoencoders

parsing-transformers

Compositional generalization in semantic parsing with pretrained transformers

recurrent-memory

When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?

relational-recurrent

Attempted reproduction of the relational LSTM model.

resnext-wsl

Robustness properties of Facebook's ResNeXt WSL models

robust-vision

Improving the robustness of ImageNet classifiers against natural and adversarial perturbations

sa1b-downloader

downloader for the SA-1B dataset

silicon-menagerie

Menagerie of models trained on SAYCam (and more)

simple-cache

A simple cache model for image recognition

simsiam

A SimSiam implementation with a pure MLP encoder

speech-bci

Speech BCI experiments

ssl

Image-based SSL training and evaluation tools

tae

A simple transformer-based autoencoder model

tae-video

A simple transformer-based autoencoder model for videos

temporal-prediction

third-order

an experimental third-order attention model

torchvision-references

transformer-metaseq2seq

Meta-seq2seq with generic transformers

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

video-models

Menagerie of video models trained on various video datasets

vision

Datasets, Transforms and Models specific to Computer Vision

visual-recognition-memory

Visual recognition memory in humans and machines

vqgan

VQ-GAN for images