Science & medicine for advanced learners
189 resources · page 5 of 6
SpyTorch
SpyTorch GitHub repo: tutorial on surrogate gradient learning in spiking neural networks.
State Council Opinions on Deepening the "AI+" Action (国务院关于深入实施"人工智能+"行动的意见)
by State Council of the People's Republic of China
China State Council opinions (August 2025) on deepening the AI+ action across the economy.
TerraTorch
by TorchGeo
TerraTorch GitHub repo: toolkit for fine-tuning geospatial foundation models.
The Well dataset
Polymathic AI The Well GitHub repo: 15TB collection of physics simulation datasets for machine learning.
TorchANI
by AIQM
TorchANI GitHub repo: library for training and using ANI neural network potentials for molecules.
TxGNN
by Artificial Intelligence for Medicine and Science @ Harvard Zitnik Lab
Harvard TxGNN GitHub repo: graph model for zero-shot prediction of drug repurposing.
UNI (Mahmood Lab) pathology foundation model
Mahmood Lab UNI GitHub repo: pathology foundation model (Nature Medicine) with weights and embeddings.
Uni-Mol
by DeepModeling
Uni-Mol GitHub repo (DP Technology): 3D molecular pretraining models for property prediction and docking.
Wildlife Insights
Wildlife Insights: platform using machine learning to identify species in camera-trap images for conservation.
Zooniverse
by Zooniverse
Zooniverse: citizen-science platform whose volunteer labels support research projects and train ML models.
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.
FutureHouse
by FutureHouse
FutureHouse research page: publications and tools from the non-profit building AI agents for scientific research.
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.
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.
Autonomous chemical research with large language models (Coscientist)
by Daniil A. Boiko et al. (Carnegie Mellon University)
Nature paper (2023) on Coscientist, autonomous chemical research with large language models.
DeepONet (Lu et al.)
by Lu Lu et al. (Brown University)
arXiv paper (2019) introducing DeepONet for learning nonlinear operators of differential equations.
Fourier Neural Operator (Li et al.)
arXiv paper (2020) introducing the Fourier Neural Operator for learning parametric PDE solutions.
FuXi Weather
by Xiuyu Sun et al. (Fudan University)
arXiv PDF (2024) of FuXi Weather, an end-to-end ML system forecasting directly from raw observations.
GenCast paper
by Ilan Price et al. (Google DeepMind)
arXiv paper (2023) introducing GenCast, a diffusion-based ensemble model for medium-range weather forecasting.
Global Fishing Watch research
Global Fishing Watch research page: studies using machine learning and satellite data on ocean activity.
Scaling deep learning for materials discovery (GNoME)
by Amil Merchant et al. (Google)
Nature paper (2023) on GNoME, scaling deep learning to discover new stable materials.