onnxmltools VS data-science-ipython-notebooks

Compare onnxmltools vs data-science-ipython-notebooks and see what are their differences.

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. (by donnemartin)
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onnxmltools data-science-ipython-notebooks
3 1
940 26,490
1.9% -
6.5 0.0
21 days ago about 1 month ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

onnxmltools

Posts with mentions or reviews of onnxmltools. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-13.
  • Model Interoperability with ONNX
    2 projects | dev.to | 13 Feb 2023
    onnxmltools
  • Export and run other machine learning models
    3 projects | dev.to | 14 Oct 2021
    With the onnxmltools library, traditional models from scikit-learn, XGBoost and others can be exported to ONNX and loaded with txtai. Additionally, Hugging Face's trainer module can train generic PyTorch modules. This notebook will walk through all these examples.
  • [D] ONNX ecosystem
    3 projects | /r/MachineLearning | 14 Oct 2021
    PyTorch has robust support for exporting Torch models to ONNX. This enables exporting Hugging Face Transformers and/or other downstream models directly to ONNX. With the onnxmltools library, traditional models from scikit-learn, XGBoost and others can be exported to ONNX.

data-science-ipython-notebooks

Posts with mentions or reviews of data-science-ipython-notebooks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2020-12-27.

What are some alternatives?

When comparing onnxmltools and data-science-ipython-notebooks you can also consider the following projects:

onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

manjaro-linux - Shell scripts for setting up Manjaro Linux for Python programming and deep learning

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

BirdNET - Soundscape analysis with BirdNET.

txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

fugue - A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

modelstore - 🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud storage provider.

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

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!