Skip to content
#

deep-learning-library

Here are 45 public repositories matching this topic...

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

  • Updated May 4, 2018
  • Vue

C# library for easy Deep Learning and Deep Reinforcement Learning. It is wrapper over C# CNTK API. Has implementation of layers (LSTM, Convolution etc.), optimizers, losses, shortcut-connections, sequential model, sequential multi-output model, agent teachers, policy gradients, actor-critic etc. Contains helpers for work with dataset (split, statistics, SMOTE etc). Allows train, evaluate and inference deep neural networks in style similar to Keras.

  • Updated May 7, 2020
  • C#

Breast Cancer Detection classifier built from the The Breast Cancer Histopathological Image Classification (BreakHis) dataset composed of 7,909 microscopic images of breast tumor tissue collected from 82 patients using different magnifying factors (40X, 100X, 200X, and 400X). To date, it contains 2,480 benign and 5,429 malignant samples (700X460 pixels, 3-channel RGB, 8-bit depth in each channel, PNG format). This database has been built in collaboration with the P&D Laboratory - Pathological Anatomy and Cytopathology, Parana, Brazil.

  • Updated Apr 11, 2019
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the deep-learning-library topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the deep-learning-library topic, visit your repo's landing page and select "manage topics."

Learn more

You can’t perform that action at this time.