PyGCL: A PyTorch Library for Graph Contrastive Learning

Uplift modeling and causal inference with machine learning algorithms

A curated list of resources about AI agents for Computer Use, including research papers, projects, frameworks, and tools.

Python package for making UMAP interpretable with exact feature contributions

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

🪨 why use many token when few token do trick. Viral skill + proxy for coding agents that cuts 65% of tokens by talking like a caveman.

[NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods

Hands-on Jupyter Notebook for learning Machine Learning

An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.

This repository implements variational graph auto encoder by Thomas Kipf.

AI agents running research on single-GPU nanochat training automatically

Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1

Model Context Protocol (MCP) server for mapping clinical terminology to Observational Medical Outcomes Partnership (OMOP) concepts using Large Language Models

Notes of Reinforcement Learning MOOC by University of Alberta

Implementation of Graph Auto-Encoders in TensorFlow

Skoltech NLA 2025 course.

Platform for designing and evaluating Graph Neural Networks (GNN)

Quick illustration of how one can easily read books together with LLMs. It's great and I highly recommend it.

Graph Auto-Encoder in PyTorch

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

Pytorch Geometric Tutorials

Supporting materials for the LLM Engineering Essentials course

Framework for evaluating Graph Neural Network models on semi-supervised node classification task

TabICLv2: An open tabular foundation model

This Repository Contains Solution to the Assignments of the AI for Medicine Specialization from Deeplearning.ai on Coursera Taught by Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu

Representation Learning MSc course Summer Semester 2023

gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI

FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.

[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)