ds2
autoembedder
ds2 | autoembedder | |
---|---|---|
5 | 1 | |
48 | 8 | |
- | - | |
0.0 | 0.0 | |
2 months ago | 18 days ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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ds2
- GitHub - DS2BRAIN/ds2: DS2 is the MLOps based Data science platform that automates machine learning pipelines and prescriptive analytics.
- GitHub - DS2BRAIN/ds2: DS2 - the MLOps based Data science platform that automates machine learning pipelines and prescriptive analytics.
- DS2 - the MLOps based Data science platform that automates machine learning pipelines and prescriptive analytics.
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?
carefree-learn - Deep Learning ❤️ PyTorch
wysiwyh - A neural net to transform a video into audio in real time.
autoai - Python based framework for Automatic AI for Regression and Classification over numerical data. Performs model search, hyper-parameter tuning, and high-quality Jupyter Notebook code generation.
ALAE - [CVPR2020] Adversarial Latent Autoencoders
superduperdb - 🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
cascade - Lightweight and modular MLOps library targeted at small teams or individuals
poutyne - A simplified framework and utilities for PyTorch
cerche - Experimental search engine for conversational AI such as parl.ai, large language models such as OpenAI GPT3, and humans (maybe).
attention-mixed-type-clustering - Attention in Mixed-Type Clustering
only_train_once - OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)