Science Medicine
235 resources · page 4 of 8
人工智能医疗器械注册审查指导原则 (CMDE 2022年第8号)
CIRS page on NMPA/CMDE registration review guideline for AI medical devices (2022 No. 8).
nnU-Net
by MIC-DKFZ
nnU-Net GitHub repo (DKFZ): self-configuring semantic segmentation framework for medical images.
Open Climate Fix
Open Climate Fix GitHub organisation: open-source solar generation forecasting and climate ML code.
Open Climate Fix PVNet
Open Climate Fix PVNet GitHub repo: training and live running of a solar PV generation forecasting model.
OpenCRISPR
by Profluent
Profluent OpenCRISPR GitHub repo: AI-generated gene editing systems such as OpenCRISPR-1.
OpenFold
AQ Laboratory OpenFold GitHub repo: trainable PyTorch reproduction of AlphaFold 2.
Original PINNs implementation
PINNs GitHub repo (Maziar Raissi): original physics-informed neural networks code for solving and discovering PDEs.
Pangu-Weather (Huawei)
by Lingxi Xie
Pangu-Weather GitHub repo: official Huawei implementation and weights for medium-range weather forecasting.
PDEArena (Microsoft)
by pdearena
PDEArena GitHub repo (Microsoft): code for generalised neural PDE surrogate modelling.
Periodic Labs
Periodic Labs: company using AI and autonomous labs for materials science discovery.
PhiFlow
by TUM Physics-based Simulation
TUM PhiFlow GitHub repo: differentiable PDE solving framework for machine learning.
Physical Intelligence research
Physical Intelligence research page: papers on robot foundation models such as FAST and real-time chunking.
PhysioNet MIMIC-IV
by Alistair E. W. Johnson et al. (MIT)
PhysioNet MIMIC-IV: de-identified health records of patients at Beth Israel Deaconess Medical Center for clinical ML research.
PlantVillage (Penn State)
by PlantVillage (Penn State University)
PlantVillage site from Penn State: plant-disease image data and AI tools for smallholder farmers.
PolicyEngine MCP server
by PolicyEngine
PolicyEngine MCP server GitHub repo: gives AI agents access to PolicyEngine tax and benefit calculations.
Polymathic AI
Polymathic AI: research collaboration building foundation models for scientific data across disciplines.
The Well (Polymathic AI)
Polymathic AI's The Well: about 15 TB of physics simulation datasets for training and benchmarking ML surrogate models.
PowerGridworld
by National Laboratory of the Rockies
NREL PowerGridworld GitHub repo: lightweight framework for multi-agent RL simulation of power systems.
Prithvi WxC
by Office of Data Science and Informatics
NASA-IMPACT Prithvi WxC GitHub repo: implementation of the Prithvi weather and climate foundation model.
Profluent
by Profluent
Profluent: company using protein language models to design new proteins and gene editors.
Project CETI
by Project CETI
Project CETI: nonprofit applying machine learning and robotics to decode sperm whale communication.
AlphaFold 3
DeepMind AlphaFold 3 GitHub repo: AlphaFold 3 inference pipeline.
ColabFold
ColabFold GitHub repo: notebooks for protein structure prediction with AlphaFold2 and MMseqs2.
ProteinMPNN
ProteinMPNN GitHub repo: code for the ProteinMPNN protein sequence design model.
Protenix (ByteDance)
by ByteDance
ByteDance Protenix GitHub repo: open-source biomolecular structure prediction reproducing and extending AlphaFold 3.
PutnamBench
by Trishul: Trustworthy Intelligent Systems @ UT Austin
PutnamBench GitHub repo: Putnam competition problems formalised in Lean, Isabelle and Coq for evaluating theorem-proving systems.
RCSB Protein Data Bank
RCSB Protein Data Bank: curated archive of experimentally determined 3D protein structures with search and analysis tools.
Recursion
by Recursion
Recursion: company using AI and automated biology for drug discovery.
RoseTTAFold
RosettaCommons RoseTTAFold GitHub repo: deep learning protein structure prediction models.
Sakana AI Scientist
by Sakana AI
Sakana AI Scientist GitHub repo: automated pipeline from research idea to experiments and paper.
Sinergym
by UGR-SAIL
Sinergym GitHub repo: EnergyPlus-based Gym environment for building control with reinforcement learning.
snnTorch
by Jason Eshraghian (snnTorch)
snnTorch documentation: tutorials for training spiking neural networks in PyTorch.