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EvalML: a library for automated machine learning and model understanding

EvalML is an AutoML library that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions, it is a library for automated machine learning (AutoML) and model understanding, written in Python

16 de May de 20212 de April de 2021

Machine Learning From Scratch

An extensive list of fundamental machine learning models and algorithms from scratch in vanilla Python.

30 de May de 2020

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• Applying Advanced Speech Enhancement in Cochlear Implants
  23 de July de 2021
  Posted by Samuel J. Yang, Research Scientist and Dick Lyon, […]
• Multi-task Prediction of Organ Dysfunction in ICUs
  22 de July de 2021
  Posted by Subhrajit Roy, Research Scientist and Diana Mincu, Research […]
• Google at ICML 2021
  19 de July de 2021
  Posted by Cat Armato and Jaqui Herman, Program Managers Groups […]

• European AI Act – How will this regulation affect SMEs?
  6 de July de 2021
  On 19 May 2021, DIGITAL SME held a workshop titled “European AI Act- How will this regulation affect SMEs?” for […] The post European AI Act – How will this regulation affect SMEs? appeared first […]

• TargetNet: Functional microRNA Target Prediction with Deep Neural Networks. (arXiv:2107.11381v1 [q-bio.GN])
  MicroRNAs (miRNAs) play pivotal roles in gene expression regulation by binding to target sites of messenger RNAs (mRNAs). While identifying […]
• Structural Inductive Biases in Emergent Communication. (arXiv:2002.01335v3 [cs.CL] UPDATED)
  In order to communicate, humans flatten a complex representation of ideas and their attributes into a single word or a […]
• Out of Order: How Important Is The Sequential Order of Words in a Sentence in Natural Language Understanding Tasks?. (arXiv:2012.15180v2 [cs.CL] UPDATED)
  Do state-of-the-art natural language understanding models care about word order – one of the most important characteristics of a sequence? […]