jinmel

admdongkor

대한민국 행정동 경계 파일

stable-diffusion-webui-colab

stable diffusion webui colab

OpenCore-Legacy-Patcher

Experience macOS just like before

gpt4all

gpt4all: run open-source LLMs anywhere

typst

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

thumbhash

A very compact representation of an image placeholder

pyvibe

Generate styled HTML pages from Python

miller

Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON

easycrypt

EasyCrypt: Computer-Aided Cryptographic Proofs

cdc-file-transfer

Tools for synching and streaming files from Windows to Linux

petals

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

PyTorch-BigGraph

Generate embeddings from large-scale graph-structured data.

tldr

📚 Collaborative cheatsheets for console commands

GraphGym

Platform for designing and evaluating Graph Neural Networks (GNN)

catprinter

🐱🖨

cassovary

Cassovary is a simple big graph processing library for the JVM

KnightKing

A general-purpose, distributed graph random walk engine.

PyNeuraLogic

PyNeuraLogic lets you use Python to create Differentiable Logic Programs

NeuraLogic

Deep relational learning through differentiable logic programming.

GNNPapers

Must-read papers on graph neural networks (GNN)

stellar-random-walk

fq

jq for binary formats - tool, language and decoders for working with binary and text formats

awesome-hpp

A curated list of awesome header-only C++ libraries

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

ml4ir

Machine Learning for Information Retrieval

gollum

A simple, Git-powered wiki with a local frontend and support for many kinds of markup and content.

tokenizers

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

awesome-mlops

A curated list of references for MLOps

awesome-search

Awesome Search - this is all about the (e-commerce, but not only) search and its awesomeness

nlp-recipes

Natural Language Processing Best Practices & Examples