autoembedder
wysiwyh
| autoembedder | wysiwyh | |
|---|---|---|
| 1 | 2 | |
| 8 | 18 | |
| - | - | |
| 0.0 | 3.2 | |
| 17 days ago | about 2 years ago | |
| Python | Python | |
| MIT License | - |
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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.
wysiwyh
What are some alternatives?
ds2 - Easiest way to use AI models without coding (Web UI & API support)
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".
ALAE - [CVPR2020] Adversarial Latent Autoencoders
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
supervision - We write your reusable computer vision tools. 💜
poutyne - A simplified framework and utilities for PyTorch
Kornia - Geometric Computer Vision Library for Spatial AI
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.