Various Loss Function In Face Recognition
Keras implementation of various loss functions in face recognition and visualization on Mnist
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Visualizemnist | 456 | 4 years ago | gpl-3.0 | Processing | ||||||
| This project is real-time visualization of a network recognizing digits from user's input. | ||||||||||
| Capsnet Pytorch | 409 | 5 years ago | 2 | bsd-3-clause | Python | |||||
| PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules | ||||||||||
| Adversarial Examples Pytorch | 353 | a year ago | 4 | Python | ||||||
| Implementation of Papers on Adversarial Examples | ||||||||||
| Tmap | 173 | 9 months ago | 29 | C++ | ||||||
| A very fast visualization library for large, high-dimensional data sets. | ||||||||||
| Lsoftmax Pytorch | 110 | 6 years ago | 3 | Python | ||||||
| The Pytorch Implementation of L-Softmax | ||||||||||
| Visualml | 106 | a year ago | 11 | gpl-3.0 | CSS | |||||
| Interactive Visual Machine Learning Demos. | ||||||||||
| Vizuka | 100 | 6 years ago | Python | |||||||
| Explore high-dimensional datasets and how your algo handles specific regions. | ||||||||||
| Desom | 84 | 4 months ago | Python | |||||||
| :globe_with_meridians: Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization | ||||||||||
| Scouter | 77 | 2 years ago | 3 | Python | ||||||
| SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition | ||||||||||
| Mnist Tensorboard Embeddings | 71 | 7 years ago | mit | Python | ||||||
| Initial commit. Tensorboard running with embeddings to utilise t-SNE | ||||||||||
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Python
Visualization
Keras
Face
Recognition
Mnist
Face Recognition