Results 11 to 20 of about 952,076 (327)

ViperGPT: Visual Inference via Python Execution for Reasoning [PDF]

IEEE International Conference on Computer Vision, 2023
Answering visual queries is a complex task that requires both visual processing and reasoning. End-to-end models, the dominant approach for this task, do not explicitly differentiate between the two, limiting interpretability and generalization. Learning
D'idac Sur'is, Sachit Menon, Carl Vondrick   +2 more
semanticscholar   +1 more source

Stanza: A Python Natural Language Processing Toolkit for Many Human Languages [PDF]

Annual Meeting of the Association for Computational Linguistics, 2020
We introduce Stanza, an open-source Python natural language processing toolkit supporting 66 human languages. Compared to existing widely used toolkits, Stanza features a language-agnostic fully neural pipeline for text analysis, including tokenization ...
Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton, Christopher D. Manning   +4 more
semanticscholar   +1 more source

GPAW: An open Python package for electronic structure calculations. [PDF]

Journal of Chemical Physics, 2023
We review the GPAW open-source Python package for electronic structure calculations. GPAW is based on the projector-augmented wave method and can solve the self-consistent density functional theory (DFT) equations using three different wave-function ...
J. Mortensen, A. H. Larsen, M. Kuisma, Aleksei V Ivanov, Alireza Taghizadeh, Andrew A. Peterson, Anubhab Haldar, A. Dohn, C. Schäfer, Elvar Ö Jónsson, E. Hermes, F. A. Nilsson, Georg Kastlunger, Gianluca Levi, Hannes J'onsson, H. Häkkinen, J. Fojt, Jiban Kangsabanik, Joachim Sødequist, J. Lehtomäki, Julian Heske, J. Enkovaara, K. Winther, M. Dulak, Marko M Melander, Martin Ovesen, M. Louhivuori, M. Walter, M. Gjerding, O. Lopez-Acevedo, P. Erhart, R. Warmbier, Rolf Würdemann, Sami Kaappa, S. Latini, T. M. Boland, T. Bligaard, Thorbjørn Skovhus, T. Susi, Tristan Maxson, Tuomas P. Rossi, Xi Chen, Yorick L. A. Schmerwitz, Jakob Schiøtz, Thomas Olsen, K. Jacobsen, K. Thygesen   +46 more
semanticscholar   +1 more source

MitoHiFi: a python pipeline for mitochondrial genome assembly from PacBio high fidelity reads

bioRxiv, 2023
Background  PacBio high fidelity (HiFi) sequencing reads are both long (15–20 kb) and highly accurate (> Q20). Because of these properties, they have revolutionised genome assembly leading to more accurate and contiguous genomes.
Marcela Uliano-Silva, João Gabriel R. N. Ferreira, Ksenia Krasheninnikova, G. Formenti, Linelle Abueg, J. Torrance, Eugene W. Myers, R. Durbin, Mark Blaxter, Shane A. McCarthy   +9 more
semanticscholar   +1 more source

Analysing high-throughput sequencing data in Python with HTSeq 2.0 [PDF]

Bioinform., 2021
Summary HTSeq 2.0 provides a more extensive application programming interface including a new representation for sparse genomic data, enhancements for htseq-count to suit single-cell omics, a new script for data using cell and molecular barcodes ...
Givanna H. Putri, S. Anders, P. Pyl, J. Pimanda, F. Zanini   +4 more
semanticscholar   +1 more source

PyThaiNLP: Thai Natural Language Processing in Python [PDF]

NLPOSS, 2023
We present PyThaiNLP, a free and open-source natural language processing (NLP) library for Thai language implemented in Python. It provides a wide range of software, models, and datasets for Thai language.
Wannaphong Phatthiyaphaibun, Korakot Chaovavanich, Charin Polpanumas, Arthit Suriyawongkul, Lalita Lowphansirikul, Pattarawat Chormai, Peerat Limkonchotiwat, Thanathip Suntorntip, Can Udomcharoenchaikit   +8 more
semanticscholar   +1 more source

PyMC: a modern, and comprehensive probabilistic programming framework in Python

PeerJ Computer Science, 2023
PyMC is a probabilistic programming library for Python that provides tools for constructing and fitting Bayesian models. It offers an intuitive, readable syntax that is close to the natural syntax statisticians use to describe models.
Oriol Abril-Pla, Virgile Andreani, Colin Carroll, Larry Dong, Christopher J. Fonnesbeck, Maxim Kochurov, Ravin Kumar, Junpeng Lao, Christian C. Luhmann, O. A. Martin, Michael Osthege, Ricardo Vieira, Thomas V. Wiecki, Robert Zinkov   +13 more
semanticscholar   +1 more source

Causal-learn: Causal Discovery in Python [PDF]

Journal of machine learning research, 2023
Causal discovery aims at revealing causal relations from observational data, which is a fundamental task in science and engineering. We describe $\textit{causal-learn}$, an open-source Python library for causal discovery. This library focuses on bringing
Yujia Zheng, Biwei Huang, Wei Chen, J. Ramsey, Mingming Gong, Ruichu Cai, Shohei Shimizu, P. Spirtes, Kun Zhang   +8 more
semanticscholar   +1 more source

Pymoo: Multi-Objective Optimization in Python [PDF]

IEEE Access, 2020
Python has become the programming language of choice for research and industry projects related to data science, machine learning, and deep learning. Since optimization is an inherent part of these research fields, more optimization related frameworks ...
Julian Blank, K. Deb
semanticscholar   +1 more source

GSEApy: a comprehensive package for performing gene set enrichment analysis in Python

Bioinform., 2022
Motivation Gene set enrichment analysis (GSEA) is a commonly used algorithm for characterizing gene expression changes. However, the currently available tools used to perform GSEA have a limited ability to analyze large datasets, which is particularly ...
Zhuoqing Fang, Xinyuan Liu, G. Peltz
semanticscholar   +1 more source