illustration2vec
Illustration analyzer
A deep learning library for extracting semantic features and tags from illustrations.
A simple deep learning library for estimating a set of tags and extracting semantic feature vectors from given illustrations.
671 stars
35 watching
111 forks
Language: Python
last commit: about 6 years ago
Linked from 2 awesome lists
Related projects:
Repository | Description | Stars |
---|---|---|
| A deep learning library for analyzing biological images at the single-cell level | 431 |
| A deep learning-based framework for image aesthetics assessment using a convolutional neural network structure | 112 |
| A Generative Adversarial Networks implementation for modeling illustrations using a custom dataset of anime faces. | 269 |
| A Python package for data analysis and visualization in machine learning | 198 |
| An open-source tool for training deep learning models for image analysis | 59 |
| A tool to visually analyze and understand deep learning models' internal workings, specifically convolutional neural networks. | 780 |
| Utilities for transforming and analyzing text data using machine learning algorithms | 5 |
| A Python library for text analysis with recurrent neural networks. | 531 |
| A computer vision tool for analyzing map images at scale. | 97 |
| A deep learning model for analyzing sentiment and emotion in text based on emojis. | 1,525 |
| A deep learning model for generating image captions with semantic attention | 51 |
| A cross-platform tool for annotating images with labelled bounding boxes | 209 |
| An implementation of a deep learning-based image representation learning approach using a modified fully connected layer and transfer learning from VGG16 | 34 |
| Automatically generates insightful visualizations from datasets of any size with minimal code | 1,749 |
| A deep learning library for image segmentation and object detection using PyTorch. | 1,054 |