autoembedder
nni
autoembedder | nni | |
---|---|---|
1 | 5 | |
8 | 13,777 | |
- | 0.7% | |
0.0 | 4.5 | |
17 days ago | 6 days ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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.
nni
- Filter Pruning for PyTorch
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Automated Machine Learning (AutoML) - 9 Different Ways with Microsoft AI
For a complete tutorial, navigate to this Jupyter Notebook: https://github.com/microsoft/nni/blob/master/examples/notebooks/tabular_data_classification_in_AML.ipynb
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[D] Efficient ways of choosing number of layers/neurons in a neural network
optuna, hyperopt, nni, plenty of less-known tools too.
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Top 10 Developer Trends, Sun Oct 18 2020
microsoft / nni
What are some alternatives?
ds2 - Easiest way to use AI models without coding (Web UI & API support)
optuna - A hyperparameter optimization framework
wysiwyh - A neural net to transform a video into audio in real time.
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
ALAE - [CVPR2020] Adversarial Latent Autoencoders
autogluon - Fast and Accurate ML in 3 Lines of Code
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
AutoML - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/Cream]
poutyne - A simplified framework and utilities for PyTorch
hyperopt - Distributed Asynchronous Hyperparameter Optimization in Python
attention-mixed-type-clustering - Attention in Mixed-Type Clustering
archai - Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.