Preprint2024
Fortuna: A library for uncertainty quantification in deep learning
Unknown
Fortuna is an open-source library for uncertainty quantification in deep learning, addressing the gap between theory and practice.
0Jan 1, 2024
AI Research
AI & ML Research Papers
A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
All Papers
8 papersPreprint2023
Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons
Unknown
This paper presents methods, metrics, and comparisons for uncertainty quantification in scientific machine learning, along with an open-source Python library.
0Jan 1, 2023
Preprint2022
imitation: Clean imitation learning implementations
Unknown
This paper presents a clean, unified implementation library for imitation learning, including inverse reinforcement learning, imitation learning, and preference comparison algorithms.
0Nov 1, 2022Reinforcement Learning
arXiv
JournalIEEE Access2024
ChatGPT for Robotics: Design Principles and Model Abilities
Sai Vemprala, Rogerio Bonatti, Arthur Bucker, et al.
This paper presents a strategy combining prompt engineering and a high-level function library to enable ChatGPT for diverse robotics tasks, and introduces the PromptCraft research tool.
712Jan 1, 2024PromptingReasoning
arXiv
PreprintScientific Reports2021
TEMImageNet training library and AtomSegNet deep-learning models for high-precision atom segmentation, localization, denoising, and deblurring of atomic-resolution images
Ruoqian Lin, Rui Zhang, Chunyang Wang, et al.
This paper presents a deep-learning library and models for robust atom segmentation, localization, denoising, and deblurring in atomic-resolution STEM images, outperforming conventional methods.
139Mar 8, 2021
PreprintInformation2020
Albumentations: Fast and Flexible Image Augmentations
Alexander Buslaev, Vladimir I. Iglovikov, Eugene Khvedchenya, et al.
Albumentations is a fast, flexible open-source image augmentation library offering many transform operations and serving as an easy-to-use wrapper around other libraries.
2.6kFeb 24, 2020Scaling LawsComputer Vision
arXiv
Preprint2024
A library for learning neural operators
Jean Kossaifi, Nikola Kovachki, Zongyi Li, et al.
NeuralOperator is an open-source Python library that generalizes neural networks to learn maps between function spaces for operator learning.
0Jan 1, 2024Neural Networks
arXiv
JournalNature Methods2020Featured
SciPy 1.0: fundamental algorithms for scientific computing in Python
Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, et al.
SciPy 1.0 is a milestone release of the open-source scientific computing library for Python, consolidating over 600 contributors and millions of users.
39kFeb 3, 2020