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  • = NVIDIA Deep Learning Institute (DLI) = ...variety of AI topics. The following are popular machine learning and deep learning courses at introductory level.
    3 KB (463 words) - 21:43, 7 November 2022
  • [[Category:Software]][[Category:Machine Learning]] DScribe is a python package for creating machine learning descriptors for atomistic systems.
    2 KB (267 words) - 16:52, 17 December 2021
  • [[Category:Software]][[Category:Machine Learning]][[Category:Statistics]] ...l applications, contains a plethora of built-in tools for standard machine learning tasks, and additionally gives transparent access to well-known toolboxes su
    3 KB (304 words) - 16:07, 6 June 2022
  • ...learning library that offers a wide range of efficient and unified machine learning methods.
    2 KB (246 words) - 18:14, 1 June 2022
  • [[Category: software]] [[Category: biology]] [[Category: Machine Learning]] CLEAN, Contrastive Learning enabled Enzyme ANnotation, is a machine learning algorithm to assign Enzyme Commission (EC) number with better accuracy, rel
    3 KB (393 words) - 20:43, 22 February 2024
  • ...egory:Software]][[Category:Biology]][[Category:imaging]][[Category:Machine Learning]] ...a framework for the reproducible processing of neuroimaging data with deep learning methods. ClinicaDL install includes the 'clinica' software platform for cli
    3 KB (323 words) - 13:41, 15 August 2022
  • Galaxy-ML is a web machine learning end-to-end pipeline building framework, with special support to biomedical ...et al. (2021) Galaxy-ML: An accessible, reproducible, and scalable machine learning toolkit for biomedicine. PLoS Comput Biol 17(6): e1009014. https://doi.org/
    2 KB (284 words) - 14:51, 27 January 2023
  • ...de. The implementation does so by benefiting from state-of-the-art machine learning methods and techniques to be optimized in conjunction with high-throughput
    3 KB (295 words) - 19:11, 5 April 2022
  • = Deep Learning Frameworks = ...ng frameworks including tensorflow, pytorch, and MxNet. The available deep learning frameworks can be queried using
    4 KB (563 words) - 20:59, 21 December 2022
  • [[Category:Software]][[Category:Machine Learning]] development with techniques like Transfer Learning, Federated
    3 KB (362 words) - 13:39, 15 August 2022
  • [[Category:Software]][[Category:Machine Learning]][[Category:Molecular Dynamics]] Deep Reinforcement Learning for de-novo Drug Design
    2 KB (272 words) - 14:24, 11 October 2022
  • ...gory:Software]][[Category:Biology]][[Category:Genomics]][[Category:Machine Learning]] Taxonomic classification for metagenomics with deep learning.
    2 KB (240 words) - 14:33, 15 August 2022
  • [[Category:Machine Learning]] ==Learning Materials==
    3 KB (338 words) - 17:43, 29 August 2022
  • [[Category:Machine Learning]] DeLUCS is a deep learning clustering algorithm for DNA sequences. It uses Frequency Chaos Game Repres
    3 KB (301 words) - 14:35, 15 August 2022
  • [[AI Education and Training]] provides learning materials and training videos on various AI topics. [[Jupyter_Notebooks#Jup ...ovide building blocks for designing and training machine learning and deep learning models. The following AI frameworks are available on HiPerGator.
    6 KB (870 words) - 17:17, 22 April 2024
  • [[Category:Machine Learning]] ...cular Sets (MOSES), a benchmarking platform to support research on machine learning for drug discovery. MOSES implements several popular molecular generation m
    3 KB (381 words) - 15:15, 17 October 2022
  • [[Category:Help]][[Category:Machine Learning]] ...orch Understanding PyTorch] || Pytorch education || Learn the Pytorch deep learning software by coding linear regression from the neural network perspective
    3 KB (367 words) - 18:50, 30 August 2022
  • ...ic. Primarily this involves developing new deep learning and reinforcement learning algorithms for generating songs, images, drawings, and other materials. But
    3 KB (361 words) - 18:20, 18 August 2022
  • [[Category:Software]][[Category:Machine Learning]][[Category:Data Science]] ...or topic modeling, sentencepiece, RAPIDSai for data processing and machine learning algorithms, gensim, scikit-learn, and more.
    3 KB (440 words) - 15:06, 26 September 2023
  • corrective learning, which were applied in MICCAI 2012 Grand Challenge on learning can be applied to further reduce systematic errors produced by
    3 KB (390 words) - 20:31, 24 August 2022

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