A high-level, easy-to-deploy non-uniform Fast Fourier Transform in PyTorch.

Starting kit for the NeurIPS 2023 unlearning challenge

⚡ Building applications with LLMs through composability ⚡

A collection of resources and papers on Diffusion Models

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cycleg…

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Official PyTorch implementation of SynDiff described in the paper (https://arxiv.org/abs/2207.08208).

Machine learning metrics for distributed, scalable PyTorch applications.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Python module to estimate big-O time complexity from execution time

A scikit-learn compatible neural network library that wraps PyTorch

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Official implementation of Hierarchical Spectrogram Transformers (HST)

A high-level toolbox for using complex valued neural networks in PyTorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

A Library of TensorFlow Operators for Computational MRI

A large-scale dataset of both raw MRI measurements and clinical MRI images.

Deep learning framework for MRI reconstruction

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Docs Featured in Videos

Pulseq in Python

Keras-Tensorflow implementation of complex-valued convolutional neural networks

python file reader/writer for Siemens MRI raw data + compression utility

ISMRMRD Python Toolbox

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding