orientino

einops

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

ffcv

FFCV: Fast Forward Computer Vision (and other ML workloads!)

TikZ

Complete collection of my PGF/TikZ figures.

mlops-python-package

Kickstart your MLOps initiative with a flexible, robust, and productive Python package.

JankyBorders

A lightweight window border system for macOS

skhd

Simple hotkey daemon for macOS

yabai

A tiling window manager for macOS based on binary space partitioning

urchin

34 key ZMK keyboard, nice!view, nice!nano & hotswap supported.

awesome-mlss

🤖 Machine Learning Summer School deadlines

torch-uncertainty

Open-source framework for uncertainty and deep learning models in PyTorch :seedling:

awesome-tips

typst

A new markup-based typesetting system that is powerful and easy to learn.

awesome-uncertainty-deeplearning

This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

stable-diffusion

A latent text-to-image diffusion model

Pixel-Art-Diffusion

wilds

A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

DUE

Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".

Posterior-Network

Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)

natural-posterior-network

Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)

jekyll-klise

:beach_umbrella: Klisé is a minimalist Jekyll theme for running a personal site or blog, light & dark mode support. (https://klise.vercel.app)

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

fastbook

The fastai book, published as Jupyter Notebooks

fastai

The fastai deep learning library

OCTIS

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

FuSta

Hybrid Neural Fusion for Full-frame Video Stabilization

streamlit

Streamlit — A faster way to build and share data apps.

SkyAR

Official Pytorch implementation of the preprint paper "Castle in the Sky: Dynamic Sky Replacement and Harmonization in Videos", in arXiv:2010.11800.

cors-anywhere

CORS Anywhere is a NodeJS reverse proxy which adds CORS headers to the proxied request.