wysiwyh
autoembedder
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| wysiwyh | autoembedder | |
|---|---|---|
| 2 | 1 | |
| 18 | 8 | |
| - | - | |
| 3.2 | 0.0 | |
| about 2 years ago | 7 days ago | |
| Python | Python | |
| - | MIT License |
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wysiwyh
autoembedder
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How to learn Categorial Embeddings in Unsupervised Learning?
Solutions I found here and here propose to save the Input Batch as a in a variable after feeding it into the Embeddings Layer (but before the AE) and use that as the target for the loss function.
What are some alternatives?
Speech_driven_gesture_generation_with_autoencoder - This is the official implementation for IVA '19 paper "Analyzing Input and Output Representations for Speech-Driven Gesture Generation".
ds2 - Easiest way to use AI models without coding (Web UI & API support)
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
ALAE - [CVPR2020] Adversarial Latent Autoencoders
supervision - We write your reusable computer vision tools. 💜
Kornia - Geometric Computer Vision Library for Spatial AI
poutyne - A simplified framework and utilities for PyTorch
attention-mixed-type-clustering - Attention in Mixed-Type Clustering
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.