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Biomni: a general-purpose biomedical AI agent

Graph AI generates neurological hypotheses validated in molecular, organoid, and clinical systems

This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.

This repository contains implementations and illustrative code to accompany DeepMind publications

List of Molecular and Material design using Generative AI and Deep Learning

federated learning with tabular learning

A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

Analysis pipeline to detect germline or somatic variants (pre-processing, variant calling and annotation) from WGS / targeted sequencing

A curated list of biomedical knowledge graphs and of resources for their construction.

This repository was used to develop Mirai, the risk model described in: Towards Robust Mammography-Based Models for Breast Cancer Risk.

Gateway into the John Snow Labs Ecosystem

Synthetic Patient Population Simulator

Synthetic data generation for tabular data

Conditional GAN for generating synthetic tabular data.

Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.

Precision Medicine Knowledge Graph (PrimeKG)

⚡ Cloud-native, AI-powered, document processing pipelines on AWS.

Minimal, clean, code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

Generating Realistic Synthetic Data

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Nextflow pipeline for hyperparameter optimization of machine learning models