hanspinckaers

pyenv

Simple Python version management

AFFiNE

There can be more than Notion and Miro. AFFiNE(pronounced [ə‘fain]) is a next-gen knowledge base that brings planning, sorting and creating all together. Privacy first, open-source, customizable and ready to use.

ruff

An extremely fast Python linter and code formatter, written in Rust.

tinygrad

You like pytorch? You like micrograd? You love tinygrad! ❤️

fiftyone

The open-source tool for building high-quality datasets and computer vision models

awesome-split-keyboards

A collection of ergonomic split keyboards ⌨

noice.nvim

💥 Highly experimental plugin that completely replaces the UI for messages, cmdline and the popupmenu.

best_AI_papers_2022

A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.

silverbullet

The hackable notebook

fidget.nvim

💫 Extensible UI for Neovim notifications and LSP progress messages.

ergogen

Ergonomic keyboard layout generator

yanky.nvim

Improved Yank and Put functionalities for Neovim

jupyterlab-vim

Vim notebook cell bindings for JupyterLab

numb.nvim

Peek lines just when you intend

neptune-client

📘 The MLOps stack component for experiment tracking

smart-open.nvim

Neovim plugin for fast file-finding

cinnamon.nvim

Smooth scrolling for ANY command 🤯. A Neovim plugin written in Lua!

TransMIL

TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification

cybu.nvim

Neovim plugin that offers context when cycling buffers in the form of a customizable notification window.

pytorch_tempest

My repo for training neural nets using pytorch-lightning and hydra

torchode

A parallel ODE solver for PyTorch

mini.animate

Neovim Lua plugin to animate common Neovim actions. Part of 'mini.nvim' library.

valis

Virtual Alignment of pathoLogy Image Series

StreamingCNN

To train deep convolutional neural networks, the input data and the activations need to be kept in memory. Given the limited memory available in current GPUs, this limits the maximum dimensions of the input data. Here we demonstrate a method to train convolutional neural networks while holding only parts of the image in memory.

pathology-streaming-pipeline

Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.

wsireg

multimodal whole slide image registration in a graph structure

coq.thirdparty

Module lua sources for `coq.nvim`, first & third party

nvim-puppeteer

Automatically convert strings to f-strings or template strings and back.

logseq-icons

Alternative light and dark icons for Logseq. (https://logseq.com)

HistAuGAN