deepo VS data-science-ipython-notebooks

Compare deepo 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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deepo data-science-ipython-notebooks
1 1
6,314 26,459
- -
3.0 0.0
about 1 year ago about 1 month ago
Python Python
MIT License 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.

deepo

Posts with mentions or reviews of deepo. We have used some of these posts to build our list of alternatives and similar projects.

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 deepo and data-science-ipython-notebooks you can also consider the following projects:

einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

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

netron - Visualizer for neural network, deep learning and machine learning models

BirdNET - Soundscape analysis with BirdNET.

torchinfo - View model summaries in PyTorch!

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

MMdnn - MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

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

Jetson-Nano-Ubuntu-20-image - Jetson Nano with Ubuntu 20.04 image

sports-betting - Collection of sports betting AI tools.

zipslicer - A library for incremental loading of large PyTorch checkpoints

PMapper - A tool for quickly evaluating IAM permissions in AWS.