cookiecutter-django
tensorflow
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| cookiecutter-django | tensorflow | |
|---|---|---|
| 27 | 222 | |
| 8,682 | 182,456 | |
| - | 0.8% | |
| 9.4 | 10.0 | |
| over 2 years ago | 2 days ago | |
| Python | C++ | |
| BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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
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Streamline Your Web Development with Cookie Cutter Django: A Comprehensive Review
cookiecutter https://github.com/pydanny/cookiecutter-django
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What do you think Django miss?
"1" is definitely something I'd like the team to focus on. Cookie-cutter django aims at it (https://github.com/pydanny/cookiecutter-django) but IDK I think it goes a little too far, and we should have better out-of-the-box options. I think we have this situation because of the unwillingness to make backward incompatible changes.
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How to not get hacked
Use Django Environ for secret keys etc, have a look at 12 factor https://12factor.net and https://github.com/pydanny/cookiecutter-django for a solid example of a best practise setup.
- Building apps in minutes, not months
- Embarking on first "big boy" Django project. Looking for some general advice / guidance / success stories / whatever.
- Django Cookie-Cutter - Simple Theme-able Generator that uses the popular Cookiecutter package. Users can choose the design and database type.
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App Generators?
Have you seen https://github.com/pydanny/cookiecutter-django ?
- Guide to deploy DJANGO DRF REST API + React App
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Looking for open source projects that follow industry best-practice standards
I don't have production level examples but cookie cutter django covers setting up points 3,4,6 https://github.com/pydanny/cookiecutter-django for you. django-allauth for point 6
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Django Project Template
You really should take a look at cookiecutter it makes bootstrapping projects easier and more customizable. You can also peek at cookiecutter Django.
tensorflow
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Google lays off its Python team
[3]: https://github.com/tensorflow/tensorflow/graphs/contributors
- TensorFlow-metal on Apple Mac is junk for training
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🔥🚀 Top 10 Open-Source Must-Have Tools for Crafting Your Own Chatbot 🤖💬
To get up to speed with TensorFlow, check their quickstart Support TensorFlow on GitHub ⭐
- One .gitignore to rule them all
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10 Github repositories to achieve Python mastery
Explore here.
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GitHub and Developer Ecosystem Control
Part of the major userbase pull in GitHub revolves around hosting a considerable number of popular projects including Angular, React, Kubernetes, cpython, Ruby, tensorflow, and well even the software that powers this site Forem.
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Non-determinism in GPT-4 is caused by Sparse MoE
Right but that's not an inherent GPU determinism issue. It's a software issue.
https://github.com/tensorflow/tensorflow/issues/3103#issueco... is correct that it's not necessary, it's a choice.
Your line of reasoning appears to be "GPUs are inherently non-deterministic don't be quick to judge someone's code" which as far as I can tell is dead wrong.
Admittedly there are some cases and instructions that may result in non-determinism but they are inherently necessary. The author should thinking carefully before introducing non-determinism. There are many scenarios where it is irrelevant, but ultimately the issue we are discussing here isn't the GPU's fault.
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Can someone explain how keras code gets into the Tensorflow package?
and things like y = layers.ELU()(y) work as expected. I wanted to see a list of the available layers so I went to the Tensorflow GitHub repository and to the keras directory. There's a warning in that directory that says:
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Is it even possible to design a ML model without using Python or MATLAB? Like using C++, C or Java?
Exactly what language do you think TensorFlow is written in? :)
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How to do deep learning with Caffe?
You can use Tensorflow's deep learning API for this.
What are some alternatives?
cookiecutter-django-rest - Build best practiced apis fast with Python3
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）
Poetry - Python packaging and dependency management made easy
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
boilerplate-code-django-dashboard - Boilerplate Code - Django Dashboard | AppSeed
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
budibase - Budibase is an open-source low code platform that helps you build internal tools in minutes 🚀
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.
pegasus-example-apps - Example apps for Saas Pegagus (saaspegasus.com)
scikit-learn - scikit-learn: machine learning in Python
Zappa - Serverless Python
LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.