Science & medicine
Science & medicine
- biology & protein (30)
- earth, energy & environment (28)
- general (4)
- materials & chemistry (24)
- mathematics (20)
- medicine & health (36)
- physics & simulation (69)
- weather & climate (24)
235 resources · page 6 of 8
ECMWF AIFS
by European Centre for Medium-Range Weather Forecasts (ECMWF)
ECMWF page on AIFS, its operational machine-learning weather forecasting system, with model versions and open data access.
Grid2Op getting started: small example notebook
by Grid2Op
Grid2Op small-example notebook showing how to simulate power-grid control with agents.
Equational Theories Project (Tao et al.)
by teorth
Terence Tao's Equational Theories Project: crowdsourced and automated-prover mapping of implications between equational laws.
exoplanet-ml: AstroNet
Google Research AstroNet README: training and evaluating a neural network that classifies exoplanet transits.
FutureHouse
by FutureHouse
FutureHouse research page: publications and tools from the non-profit building AI agents for scientific research.
Google AMIE
Google Research post on AMIE, a research AI system for diagnostic medical reasoning and patient conversations.
IBM Granite time-series cookbook
IBM Granite time-series cookbook GitHub repo: notebooks on forecasting, fine-tuning and evaluation with Granite time-series models.
Anomalib in 15 Minutes
by Anomalib project (Open Edge Platform)
Anomalib 15-minute tutorial: training a model to detect visual anomalies in a dataset.
Mathlib overview
Mathlib overview page mapping which areas of mathematics are formalised in the Lean mathlib library.
WHO: Ethics and governance of AI for health
WHO guidance on ethics and governance of large multimodal models in health.
WeatherNext 1 Graph (GraphCast) guide
Google DeepMind WeatherNext 1 Graph (GraphCast) documentation for medium-range weather forecasting.
APA: Artificial intelligence and machine learning topic page
by American Psychological Association (APA)
American Psychological Association topic page on artificial intelligence and machine learning, including mental-health implications.
NASA Harvest
by NASA Harvest
NASA Harvest consortium site: satellite data and machine learning for agriculture and food security monitoring.
Open Data Science
Open Data Science (ODS.ai): Russian-speaking data science community with courses, events and competitions.
Physics-informed machine learning (Nature Reviews Physics)
by George Em Karniadakis et al. (Brown University)
Nature Reviews Physics review (2021) of physics-informed machine learning.
PlantCV documentation
by Donald Danforth Plant Science Center (PlantCV)
PlantCV documentation: image analysis library for plant phenotyping with computer vision.
QuPath
by QuPath
QuPath: open-source software for digital pathology and whole-slide image analysis with ML classifiers.
The AI Scientist (Sakana AI)
by Sakana AI
Sakana AI page on The AI Scientist, a system for automated open-ended scientific research and paper writing.
Scanpy: Preprocessing and clustering 3k PBMCs
Scanpy tutorial on preprocessing and clustering 3k PBMC single-cell RNA-seq data.
Wild Me documentation
by Wild Me (Conservation X Labs)
Wild Me documentation: computer-vision software that matches photos of individual animals for wildlife research.
Actuarial Data Science
by Swiss Association of Actuaries (Actuarial Data Science)
Actuarial Data Science site from the Swiss Association of Actuaries with tutorials and notebooks applying ML to insurance.
AIFS paper (ECMWF)
arXiv paper (2024) describing AIFS, ECMWF's data-driven weather forecasting system.
AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithms
Google DeepMind post on AlphaEvolve, a Gemini-based coding agent that evolves algorithms for maths and computing problems.
AlphaFold 2 Nature paper
by John Jumper et al. (DeepMind)
Nature paper (2021) on AlphaFold 2, highly accurate protein structure prediction.
Olympiad-Level Formal Mathematical Reasoning with Reinforcement Learning (AlphaProof)
Google Research publication on AlphaProof: olympiad-level formal mathematical reasoning with reinforcement learning.
Aurora
by Cristian Bodnar et al. (Microsoft)
arXiv HTML version of the Aurora paper (2024) on a foundation model of the atmosphere.
Autoware Documentation
Autoware documentation: open-source autonomous-driving software stack, with architecture, setup and deployment guides.
Baidu PaddleHelix
by PaddlePaddle
Baidu PaddleHelix GitHub repo: bio-computing platform on PaddlePaddle for drug discovery and protein models.
CARLA
by CARLA team
CARLA simulator documentation: setup, Python API, sensors and scenarios for autonomous-driving research.
Chemprop
Chemprop documentation: PyTorch framework for training message-passing neural networks for molecular property prediction.
CityLearn
by CityLearn (Intelligent Environments Lab, UT Austin)
CityLearn documentation: open-source Gymnasium environment for reinforcement learning in building energy and demand response.
ClimaX
by Tung Nguyen et al. (UCLA and Microsoft Research)
ICML 2023 paper ClimaX: a foundation model for weather and climate.