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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]][[Category:GPU]] ...signed for scientists and engineers. This tool leverages the power of deep learning to solve physical laws described by differential equations, which are cruci1 KB (142 words) - 20:34, 9 May 2024
- [[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 su3 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
- ...the practice of using mathematics, programming, analytics, AI, and machine learning to discover valuable insights within large data sets. Research Computing pr ...ex machine learning models, providing scalable and flexible tools for deep learning, numerical computation, and large-scale optimization. TensorFlow also suppo5 KB (663 words) - 19:52, 14 May 2024
- [[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, rel3 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 cli3 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-throughput3 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 using4 KB (563 words) - 20:59, 21 December 2022
- [[Category:Software]][[Category:Machine Learning]] development with techniques like Transfer Learning, Federated3 KB (362 words) - 13:39, 15 August 2022
- [[Category:Software]][[Category:Machine Learning]][[Category:Molecular Dynamics]] Deep Reinforcement Learning for de-novo Drug Design2 KB (272 words) - 14:24, 11 October 2022
- ...es software on HiperGator. Artificial intelligence (AI), including machine learning (ML), has the potential to revolutionize human health and medical research = Deep Learning Frameworks =4 KB (521 words) - 16:00, 14 May 2024
- ...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 Repres3 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 m3 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 perspective3 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. But3 KB (361 words) - 18:20, 18 August 2022
- ...ow''': An open-source library developed by Google, widely used for machine learning and AI, especially for tasks involving neural networks. '''ngc-tensorFlow'' ...Research lab, known for its flexibility and ease of use in developing deep learning models. '''ngc-pytorch''' is the NVIDIA optimized environment container for7 KB (922 words) - 16:56, 14 May 2024
- corrective learning, which were applied in MICCAI 2012 Grand Challenge on learning can be applied to further reduce systematic errors produced by3 KB (390 words) - 20:31, 24 August 2022
- ...mewide genotypic markers with an advanced machine learning technique (deep learning). The effectiveness of DeepGS has been demonstrated in predicting eight phe3 KB (342 words) - 22:21, 26 August 2020
- A variety of reference machine learning and AI datasets are located in <code>/data/ai</code>. You may need to use t ...urated dataset of georeferenced multi-spectral Sentinel-1 imagery for deep learning and data fusion.3 KB (491 words) - 19:55, 2 November 2023
- [[Category:Software]][[Category:Biology]][[Category:Machine Learning]]2 KB (238 words) - 19:30, 12 August 2022
- [[Category:Software]][[Category:Machine Learning]] ...rs_coling2020.pdf/ If you use our TARS approach for few-shot and zero-shot learning, please cite this paper]3 KB (419 words) - 15:42, 25 August 2022
- [[Category:Software]][[Category:Machine Learning]]2 KB (244 words) - 19:21, 1 June 2022
- [[Category:Software]][[Category:Machine Learning]][[Category:Data Science]][[Category:Help]] ..., chatbots, and translation apps. NLP combines language rules with machine learning to help computers grasp not just words, but also the intent and feelings be8 KB (1,126 words) - 19:55, 14 May 2024
- [[Category:Software]][[Category:Machine Learning]] ...ment. We call these tools the P3-scripts. They are intended to run on your machine, going over the network to access the services provided by PATRIC.3 KB (390 words) - 16:04, 6 June 2022
- [[Category:Software]][[Category:Machine Learning]]2 KB (245 words) - 17:04, 31 January 2023
- [[Category:Software]][[Category:Machine Learning]]2 KB (251 words) - 14:23, 15 August 2022
- [[Category:Software]][[Category:Machine Learning]]2 KB (252 words) - 22:13, 6 March 2023
- [[Category:Software]][[Category:Machine Learning]][[Category:Molecular Dynamics]]2 KB (253 words) - 17:59, 15 August 2022
- [[Category:Software]][[Category:Machine Learning]]2 KB (256 words) - 17:52, 31 May 2022
- ISOWN is a supervised machine learning algorithm for predicting somatic mutations from tumor only samples.2 KB (268 words) - 21:21, 6 December 2019
- PyTorch is an end-to-end Machine Learning Framework. PyTorch enables fast, flexible experimentation and efficient pro2 KB (257 words) - 15:56, 6 June 2022
- [[Category:Software]][[Category:Machine Learning]][[Category:Imaging]][[Category:Image Processing]]2 KB (263 words) - 12:33, 12 August 2022
- SomaticSeq is an ensemble caller that has the ability to use machine learning to filter out false positives. The detailed documentation is included in th2 KB (269 words) - 00:06, 22 August 2022
- Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real wor2 KB (269 words) - 13:11, 4 May 2020
- Amp is an open-source package designed to easily bring machine-learning to2 KB (271 words) - 16:08, 6 June 2022
- [[Category:Machine Learning]]2 KB (274 words) - 17:55, 15 August 2022
- scikit-learn is set of python modules for machine learning and data mining. It provides simple and efficient tools for predictive data2 KB (272 words) - 21:23, 6 March 2024
- ...alled by integrating existing structural variant callers through a machine-learning model and several custom post-processing scripts.2 KB (277 words) - 18:57, 6 June 2022
- [[Category:Software]][[Category:Machine Learning]]2 KB (290 words) - 17:58, 15 August 2022
- [[Category:Software]][[Category:Machine Learning]]2 KB (277 words) - 20:10, 23 May 2022
- ...d versatile analyses of brain volumes. It provides statistical and machine-learning tools, with instructive documentation & friendly community.2 KB (284 words) - 17:17, 19 August 2022
- ...g, bioinformatics, software engineering, database and web design, machine learning, and in visual interfaces for other technical domains.2 KB (276 words) - 19:03, 12 August 2022
- [[Category:Software]][[Category:Machine Learning]]2 KB (289 words) - 23:52, 31 January 2023
- [[Category:Software]][[Category:Machine Learning]][[Category:Artificial Intelligence]]2 KB (280 words) - 19:05, 1 December 2023