TensorFlowOnSpark
data-science-ipython-notebooks
TensorFlowOnSpark | data-science-ipython-notebooks | |
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2 | 1 | |
3,864 | 26,490 | |
0.1% | - | |
1.4 | 0.0 | |
10 months ago | about 1 month ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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TensorFlowOnSpark
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[D]Speed up inference on Spark
Currently I use TensorflowOnSpark frame to train and predict model. When prediction, I have billions of samples to predict which is time-consuming. I wonder if there is some good practices on this.
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[D] Plug or Integrate a GNN Pytorch code base into Spark Cluster
https://github.com/yahoo/TensorFlowOnSpark : check out if this project is useful for you.
data-science-ipython-notebooks
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Beginner in Python for Data Science
data science ipython notebooks
What are some alternatives?
ecosystem - Integration of TensorFlow with other open-source frameworks
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transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
BirdNET - Soundscape analysis with BirdNET.
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
fugue - A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.
Keras - Deep Learning for humans
kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
mlToolKits - learningOrchestra is a distributed Machine Learning integration tool that facilitates and streamlines iterative processes in a Data Science project.
sports-betting - Collection of sports betting AI tools.
PMapper - A tool for quickly evaluating IAM permissions in AWS.
data-science - :bar_chart: Path to a free self-taught education in Data Science!