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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 — Claude Code skill that cuts 65% of tokens by talking like 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
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.
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: A state-of-the-art 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)
An opinionated list of Python frameworks, libraries, tools, and resources