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 5 of 8
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.
CityLearn: Your first simulation
by CityLearn (Intelligent Environments Lab, UT Austin)
CityLearn quickstart: tutorial for running a first building-energy simulation for reinforcement-learning control.
Getting Started with PyHealth
by PyHealth project (Sunlab, UIUC)
PyHealth getting-started guide for building and evaluating healthcare AI models on EHR data.
AI achieves silver-medal standard solving International Mathematical Olympiad problems (Google DeepMind)
Google DeepMind post on AlphaProof and AlphaGeometry 2 reaching silver-medal level at IMO 2024.
DeepChem: An Introduction to MoleculeNet
by DeepChem
DeepChem tutorial introducing MoleculeNet datasets for molecular property prediction in drug discovery.
Khanmigo
by Khan Academy
Khanmigo: Khan Academy's AI tutor and teaching assistant for students and teachers.
matminer examples: Predicting bulk modulus
by Hacking Materials Research Group
Matminer example notebook predicting materials bulk modulus with machine learning.
Mathematics for Machine Learning
by mml-book
Mathematics for Machine Learning book site by Deisenroth, Faisal and Ong, with free PDF on linear algebra, calculus and probability.
MIT 18.06 Linear Algebra (Strang)
MIT OpenCourseWare 18.06 Linear Algebra by Gilbert Strang, with video lectures, notes and problem sets.
armory-library: Getting Started
Armory-library getting-started guide: Python library for evaluating adversarial robustness of ML models.
robomimic: Getting Started
by robomimic
robomimic getting-started guide with a quickstart notebook for training imitation-learning policies on robot arms.
Introduction to TorchGeo
TorchGeo introductory tutorial on loading geospatial datasets and training land-cover segmentation models.
AASV abstract: AI and machine learning in veterinary medicine
by American Association of Swine Veterinarians (AASV)
AASV abstract giving a regulatory perspective on AI and machine learning in veterinary medicine.
AIRI report 2024 (EN PDF)
by AIRI (Artificial Intelligence Research Institute)
AIRI 2024 annual report (PDF) describing the Russian AI institute's research groups and results.
AI achieves silver-medal standard solving International Mathematical Olympiad problems (AlphaProof)
Google DeepMind post on AlphaProof and AlphaGeometry 2 solving International Mathematical Olympiad problems at silver-medal level.
Amazon Science blog
Amazon Science blog with research posts and papers from Amazon scientists on machine learning and AI.
BirdNET
by K. Lisa Yang Center for Conservation Bioacoustics (Cornell Lab of Ornithology)
BirdNET site from Cornell: AI tool for identifying bird species from sound recordings.
Cellpose
by Stringer and Pachitariu labs (HHMI Janelia)
Cellpose site: deep-learning tool for cell segmentation in microscopy images, with models and tutorials.
Climate Change AI tutorials
Climate Change AI tutorials pairing machine-learning methods with concrete climate problems, with notebooks.
NASA ProgPy: Modeling and Sim Guide
by NASA
NASA ProgPy guide to building and simulating prognostics models for component degradation.
Datawhale pumpkin-book 南瓜书
by Datawhale
Datawhale Pumpkin Book: Chinese companion with step-by-step derivations of the formulas in Zhou Zhihua's Machine Learning textbook.
DeepChem
by DeepChem
DeepChem site: open-source library and tutorials for deep learning in chemistry, biology and materials science.
Earth Engine machine learning
by Google
Google Earth Engine guide to its built-in machine-learning APIs for classifying and regressing satellite data.