awesome-explainable-graph-reasoning

A collection of research papers and software related to explainability in graph machine learning.

biomedical

Tools for curating biomedical training data for large-scale language modeling

bitsandbytes

8-bit CUDA functions for PyTorch

cookiecutter

A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

jekyll-text-theme

💎 🐳 A super customizable Jekyll theme for personal site, team site, blog, project, documentation, etc.

knockknock

🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

learning-rules-from-kgs-guided-by-language-models

nomisto

Config files for my GitHub profile.

nomisto.github.io

openbiolink

OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.

openbiolink-2021-embedding-baseline

openbiolink-2021-symbolic-baseline

promptsource

Toolkit for creating, sharing and using natural language prompts.

pykeen

🤖 A Python library for learning and evaluating knowledge graph embeddings

raytracer

safety-code-website-v3.0

safran

Scalable and fast non-redundant rule application for link prediction

scipy

SciPy library main repository

starknet-cairo-101

tetris2d

tetris3d

thoughtsource

A central, open resource for data and tools related to chain-of-thought reasoning in large language models. Developed @ Samwald research group: https://samwald.info/

upptime

📈 Uptime monitor and status page for Simon Ott, powered by @upptime

uptime-monitor

⬆️📈 Uptime monitor powered by GitHub Actions

venv_cache_cd