mborysow

stable-diffusion

A latent text-to-image diffusion model

polars

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

spacemacs

A community-driven Emacs distribution - The best editor is neither Emacs nor Vim, it's Emacs *and* Vim!

einops

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

papermill

📚 Parameterize, execute, and analyze notebooks

data-augmentation-review

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.

proxylessnas

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

org-download

Drag and drop images to Emacs org-mode

torchdynamo

A Python-level JIT compiler designed to make unmodified PyTorch programs faster.

barlowtwins

PyTorch implementation of Barlow Twins.

git-repo

Git-Repo: CLI utility to manage git services from your workspace

mobileorg

MobileOrg iPhone App

ddrm

[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository

watchman

Execute a command when something changes

org-wiki

Wiki for Emacs org-mode built on top of Emacs org-mode.

effective_pandas_book

Errata and code for Effective Pandas book

self_supervised

Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks.

vos

source code for ICLR'22 paper "VOS: Learning What You Don’t Know by Virtual Outlier Synthesis"

mu-repo

Tool to help in dealing with multiple git repositories

org-java

Org mode files Java parser

swift-org

org-mode with swift

riprova

Versatile async-friendly retry package with multiple backoff strategies

jupyterlab-hdf5

Open and explore HDF5 files in JupyterLab. Can handle very large (TB) sized files, and datasets of any dimensionality

barlowtwins

Implementation of Barlow Twins paper

distinction-maximization-loss

A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in your project! Perform efficient inferences (i.e., do not increase inference time) without repetitive model training, hyperparameter tuning, or collecting additional data.

mytoy

A toy repo illustrating a minimal installable Python package

mkl