Pipenv
tensorflow
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Pipenv | tensorflow | |
---|---|---|
33 | 221 | |
24,598 | 182,456 | |
0.5% | 0.7% | |
9.4 | 10.0 | |
about 17 hours ago | about 2 hours ago | |
Python | C++ | |
MIT 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.
Pipenv
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Pipenv VS instld - a user suggested alternative
2 projects | 9 Dec 2023
- Managing dependencies - pipenv?
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Adding Virtual Environments to Git Repo
pipenv solves this by having both kinds of requirement files: Pipfile lists package names and known constraints on which versions can be used, while Pipfile.lock gives specific package versions with hashes. Theoretically the Pipfile (and its lockfile) format were supposed to be a standard that many different tools could use, but I haven't seen it get adopted much outside of pipenv itself, so I'm not sure if it's really going to catch on.
- Renaming folders is usually a bad idea right?
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A not so unfortunate sharp edge in Pipenv
* Tons of longstanding bugs that fail to be resolved in any sort of timely manner like this one: https://github.com/pypa/pipenv/issues/2413
I am sick and tired of the python packaging space pushing this godawful tool for Python. Please just use pip-tools or poetry instead.
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Publish Webhooks From Your FastAPI API With Convoy
ℹ️ You may use a different virtual environment manager like Pipenv or poetry.
- Why does Pipenv install do the same thing as Pipenv install --ignore-pipfile
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pipenv integration with neovim
Hey lua would you mind looking at this question for me? https://github.com/pypa/pipenv/discussions/5411
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Top 10 Python security best practices
Alternatively, you can look into Pipenv, which has a lot more tools to develop secure applications with.
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Why Fedora still has pipenv v2021.5.29? Over five updates since, the last v2022.3.28
https://github.com/pypa/pipenv/releases https://bodhi.fedoraproject.org/updates/?search=pipenv (pipenv-2021.5.29-7.fc35 for the current Fedora release)
tensorflow
- 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.
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When the documentation has TODOs
Since you've specifically mentioned ML, here's Tenserflow's GitHub. I'm sure a quick glance through that will change your mind.
What are some alternatives?
Poetry - Python packaging and dependency management made easy
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)
pyenv - Simple Python version management
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
virtualenv - Virtual Python Environment builder
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
PDM - A modern Python package and dependency manager supporting the latest PEP standards
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.
pip-tools - A set of tools to keep your pinned Python dependencies fresh.
scikit-learn - scikit-learn: machine learning in Python
Pew - A tool to manage multiple virtual environments written in pure python
LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.