wembedder
amazon-sagemaker-local-mode
wembedder | amazon-sagemaker-local-mode | |
---|---|---|
1 | 1 | |
49 | 229 | |
- | 0.9% | |
0.0 | 7.9 | |
almost 3 years ago | 25 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT No Attribution |
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wembedder
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[D] Graph embeddings of Wikidata items
I have made Wembedder that is using a simple RDF2Vec model, that you might try. You can download it from https://github.com/fnielsen/wembedder The current pre-trained model running at https://wembedder.toolforge.org is pretty small with only around 600.000 Wikidata items to fit the size of the Toolforge cloud service. It means that the Python programming language is in the model, but not the snake nor Django :/.
amazon-sagemaker-local-mode
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Debugging Python Code in Amazon SageMaker Locally Using Visual Studio Code and PyCharm: A Step-by-Step Guide
git clone https://github.com/aws-samples/amazon-sagemaker-local-mode/ cd amazon-sagemaker-local-mode/general_pipeline_local_debug python3 -m venv .venv source .venv/bin/activate pip install jupyter jupyter lab
What are some alternatives?
danker - Compute PageRank on >3 billion Wikipedia links on off-the-shelf hardware.
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Fast_Sentence_Embeddings - Compute Sentence Embeddings Fast!
mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
aws-lambda-docker-serverless-inference - Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.
nebuly - The user analytics platform for LLMs
pinferencia - Python + Inference - Model Deployment library in Python. Simplest model inference server ever.