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Deep learning
Deep Learning is an artificial neural network composed of many layers.

This package features data-science related tasks for developing new recognizers for Presidio. It is used for the evaluation of the entire…
  • Python
  • 158
  • Updated
    on Feb 11

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)
  • Python
  • 138
  • Updated
    on Apr 18, 2023

Improving Generalization via Scalable Neighborhood Component Analysis
  • Python
  • 136
  • Updated
    on Jun 12, 2023

[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
  • Python
  • 120
  • Updated
    on Jul 25, 2023

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
  • Python
  • 110
  • Updated
    on Jun 12, 2023

Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs
  • Jupyter Notebook
  • 94
  • Updated
    on Apr 2, 2021

Exploring the connections between artworks with deep "Visual Analogies"
  • TypeScript
  • 93
  • Updated
    on Jul 27, 2023

Tutorial on how to deploy Deep Learning models on GPU enabled Kubernetes cluster
  • Jupyter Notebook
  • 77
  • Updated
    on Feb 1, 2019

Dynamic batching library for Deep Learning inference. Tutorials for LLM, GPT scenarios.
  • Python
  • 73
  • Updated
    on May 17, 2023

Official Azure Reference Architectures for AI workloads
  • 65
  • Updated
    on Jun 12, 2023
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Deep learning
Deep Learning is an artificial neural network composed of many layers.
Package icon

Sponsor open source projects you depend on

Contributors are working behind the scenes to make open source better for everyone—give them the help and recognition they deserve.Explore sponsorable projects
ProTip! 
Press the
/
key to activate the search input again and adjust your query.