autoembedder
ds2
| autoembedder | ds2 | |
|---|---|---|
| 1 | 5 | |
| 8 | 48 | |
| - | - | |
| 0.0 | 0.0 | |
| 17 days ago | 2 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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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.
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.
What are some alternatives?
wysiwyh - A neural net to transform a video into audio in real time.
carefree-learn - Deep Learning ❤️ PyTorch
ALAE - [CVPR2020] Adversarial Latent Autoencoders
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.
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
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.
poutyne - A simplified framework and utilities for PyTorch
cascade - Lightweight and modular MLOps library targeted at small teams or individuals
attention-mixed-type-clustering - Attention in Mixed-Type Clustering
cerche - Experimental search engine for conversational AI such as parl.ai, large language models such as OpenAI GPT3, and humans (maybe).
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
only_train_once - OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM