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inmicrosoft (press backspace or delete to remove)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
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Deep Learning is an artificial neural network composed of many layers.
![Package icon](https://cdn.statically.io/img/github.com/images/modules/search/mona-love.png)
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 projectsProTip!
Press the /
key to activate the search input again and adjust your query.