cookiecutter-django VS tensorflow

Compare cookiecutter-django vs tensorflow and see what are their differences.

cookiecutter-django

Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly. [Moved to: https://github.com/cookiecutter/cookiecutter-django] (by pydanny)
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cookiecutter-django tensorflow
27 221
8,682 181,467
- 0.7%
9.4 10.0
over 2 years ago 6 days ago
Python C++
BSD 3-clause "New" or "Revised" License Apache License 2.0
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.

cookiecutter-django

Posts with mentions or reviews of cookiecutter-django. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-22.

tensorflow

Posts with mentions or reviews of tensorflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-06.

What are some alternatives?

When comparing cookiecutter-django and tensorflow you can also consider the following projects:

PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

scikit-learn - scikit-learn: machine learning in Python

LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.

xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

PyBrain

Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

MLflow - Open source platform for the machine learning lifecycle

mlpack - mlpack: a fast, header-only C++ machine learning library