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Domain Specific Language for the Abstraction and Reasoning Corpus
Solving the Abstraction & Reasoning Corpus with DreamCoder
Accompanied repositories for our paper Graph foundation model
AI-driven completion of the human Interactome for rare disease-related target discovery
A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)
Precision Medicine Knowledge Graph (PrimeKG)
A foundation model for knowledge graph reasoning
[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
Official implementation of A* Networks
Code to accompany the "Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery" manuscript (Artificial Intelligence in the Life Sciences, 2022)
A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
An awesome repository of community-curated applications of ChatGPT and other LLMs in computational biology
TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design
A collection of resources on the topic of Complex Logical Query Answering
"A Probabilistic Knowledge Graph for Target Identification"
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
A unifying framework for biomedical research knowledge graphs
LlamaIndex is the leading framework for building LLM-powered agents over your data.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
Source code and data repository for "Ensembles of knowledge graph embedding models improve predictions for drug discovery"
A graph-transformer for whole slide image classification
Recipe for a General, Powerful, Scalable Graph Transformer
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…
[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.