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Track research, releases, long-term trends and governance debates.
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697 resources · page 21 of 22
Kornia
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Kornia documentation: PyTorch library of differentiable computer-vision and image-processing operations.
Krea 2 Technical Report
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Krea 2 technical report on its open-weight text-to-image foundation models, including architecture and training details.
Latent Diffusion (Stable Diffusion)
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arXiv paper (2021) introducing latent diffusion models, the basis of Stable Diffusion.
Learning to Simulate Complex Physics with Graph Networks (GNS)
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arXiv paper (2020) introducing Graph Network-based Simulators (GNS) for learning complex particle physics.
MatGL
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MatGL: graph deep learning library for materials property prediction and interatomic potentials.
matminer
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matminer documentation: Python library for mining materials data and generating features for ML models.
MaxProof
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arXiv paper (2026) introducing MaxProof, generative-verifier RL and test-time scaling for mathematical proofs.
MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks
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arXiv PDF (2025) of the MedHELM paper on holistic evaluation of LLMs for medical tasks.
MeshGraphNets
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arXiv paper (2020) introducing MeshGraphNets for learning mesh-based physical simulation.
Meshy API documentation and changelog
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Meshy API changelog listing feature updates, model versions and migration notes for its 3D generation API.
METR
by METR
Follow research on the capabilities and risks of increasingly autonomous systems.
MoveIt
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MoveIt 2 documentation: ROS 2 framework for robot motion planning, manipulation and perception, with tutorials.
NeRF
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arXiv paper (2020) "NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis", introducing neural radiance fields (NeRF) for novel view synthesis.
Nerfstudio documentation
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Nerfstudio documentation: modular framework for creating, training and viewing neural radiance fields (NeRFs).
Neural Operator: Learning maps between function spaces
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arXiv paper (2021) "Neural Operator: Learning Maps Between Function Spaces", the general framework covering Fourier and graph neural operators for PDEs.
NeuralHydrology
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NeuralHydrology site: research blog and library for neural networks in rainfall-runoff and hydrological modelling.
NVIDIA cuOpt
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NVIDIA cuOpt user guide: GPU-accelerated solver for routing and other optimisation problems.
On-Policy Distillation
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Thinking Machines Lab post on on-policy distillation, combining on-policy sampling with dense teacher supervision.
Orfeo ToolBox Cookbook
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Orfeo ToolBox Cookbook: CNES open-source remote-sensing library with image classification workflows.
PaiNN
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arXiv HTML version of the PaiNN paper (2021) on equivariant message passing for molecular property prediction.
Accurate medium-range global weather forecasting with 3D neural networks (Pangu-Weather)
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Nature paper (2023) on Huawei's Pangu-Weather, medium-range forecasting with 3D neural networks.
Physics-informed deep learning (Raissi et al.)
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arXiv paper (2017) introducing physics-informed neural networks (PINNs) for data-driven solutions of nonlinear PDEs.
PX4 computer-vision and ROS integration
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PX4 Autopilot user guide: open-source drone flight control software with simulation, ROS and computer-vision integration.
Qwen3 Technical Report
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arXiv paper (2025) Qwen3 Technical Report describing the Qwen3 model family, architecture and training.
Raster Vision
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Raster Vision: open-source library for deep learning on satellite and aerial imagery.
robomimic
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robomimic site: framework and demonstration datasets for robot learning from demonstration.
Rodin Gen-2.5 中文 API specification
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Hyper3D Rodin Gen-2.5 API specification in Chinese: request parameters, authentication and responses for 3D asset generation.
Rodin official generation skill library
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Deemos rodin3d-skills GitHub repo: official agent skills for Rodin 3D generation.
Scanpy documentation
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Scanpy documentation: Python toolkit for analysing single-cell gene expression data.
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
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arXiv paper (2017) introducing SchNet, a continuous-filter convolutional network for modelling quantum interactions in molecules.
SchNet: a deep learning architecture for molecules and materials
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arXiv paper (2017) "SchNet - a deep learning architecture for molecules and materials", using continuous-filter convolutions to predict molecular energies and forces.
SIPRI: AI and emerging military tech
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SIPRI research page on artificial intelligence and its impact on international peace, security and military use.