Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

A small package to create visualizations of PyTorch execution graphs

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

Fast, general, and tested differentiable structured prediction in PyTorch

Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

Official Implementation for "Pivotal Tuning for Latent-based editing of Real Images" (ACM TOG 2022) https://arxiv.org/abs/2106.05744

Computational Fluid Dynamics in JAX

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

Building a Bayesian deep learning classifier

Annotated version of the Mamba paper

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.

Materials of the Nordic Probabilistic AI School 2019.

Pytorch implementation of our paper: Adapting OCR with Limited Labels

Implementation of SVD in CUDA, application on classifying handwritten digits

Scratch repository for Jupyter notebooks.