professional-programming
tensorflow
professional-programming | tensorflow | |
---|---|---|
15 | 237 | |
47,955 | 191,376 | |
0.2% | 0.2% | |
7.5 | 10.0 | |
22 days ago | 4 days 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.
professional-programming
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System Design Resources that are Not ByteByteGo
Professional Programming by Charles-Axel Dein
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A collection of learning resources for curious software engineers
The inclusion of the perspective section: https://github.com/charlax/professional-programming?tab=read... I think is really smart. Same for personal productivity. Two things that can dramatically change how and what you end up studying and doing with your time / life.
I did a coding bootcamp and yeah the frontend knowledge they taught was useful, but I could have learned that online for free. Looking back, the far more valuable thing I learned was how to discipline myself and my time - that was the first time in my life I was truly disciplined and mindful in how I spent my time. I also got perspective I'd never seen before: there was some folks in my cohort that were in their 30s and 40s and undergoing career change, and I learned two things from them: First, don't stress too much, your life has much more flexibility than you might expect (this truth is borne out, they all have perfectly successful careers in their new lives as engineers), and second, make a great use of the time you have.
Bog-standard advice we all know, but to witness it firsthand from people living it and sharing it is different. The shared article in the github is incredible: https://www.theguardian.com/commentisfree/2020/sep/07/termin...
I often wonder why I don't see more of these sorts of articles. From watching a family member slowly die of cancer, and from reading books like "When Breath Becomes Air," I'm guessing it's some combination of exhaustion, disability, and a new set of priorities that doesn't really involve death blogging. Still, I find these kinds of writings more poignant than most things I read.
- Professional Programming – Learning resources for software engineers
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How long did it take you to code by second nature?
Also this repo helps https://github.com/charlax/professional-programming
- Professional Programming
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5 GitHub Repositories every Developer should know
1. Professional Programming
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Open Source Repositories
Professional Programming. As reported, The goal of this page is to make you a more proficient developer. If you have excellent resources, you can try to open a PR and include them here. But in any csae, I wanted to include this because it seems super interesting.
- These GitHub repositories contain so much knowledge you can use to become a better developer.
tensorflow
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The Documentation Strategy Behind Every Successful Open Source Project
The TensorFlow team structures their contributor guide with clear sections and sub-sections, making it easy to jump to relevant information without reading everything.
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None of the top 10 projects in GitHub is actually a software project 🤯
We see an addition to the AI community with AutoGPT. Along with Tensorflow they represent the AI community in the software category, which is getting relevant (2 out of 8). We can expect in the future to have new AI projects in the top 25 such as Transformers or Ollama (currently top 34 and 36, respectively).
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How to Get Started with Scikit-Learn: A Beginner-Friendly Guide to Machine Learning in Python
TensorFlow
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Show HN: Txeo – A Modern C++ Wrapper for TensorFlow
The project looks fairly active, based on the commit history:
https://github.com/tensorflow/tensorflow/commits/master/
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Build, Innovate & Collaborate: Setting Up TensorFlow for Open Source Contribution! 🚀✨
🥷 Fork & clone tensorflow repo. ⚙️ Setup Development environment for contribution. 🫸 Push and create pull request.
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Top 8 OpenSource Tools for AI Startups
Star on GitHub ⭐ - Tensorflow
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GitHub Repositories Every Developer Should Know: An In-Depth Guide
Access the repository for source code and examples.
- Create ML models that can run in any environment
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Las 10 Mejores Herramientas de Inteligencia Artificial de Código Abierto
(https://dev-to-uploads.s3.amazonaws.com/uploads/articles/adae9icuiza0lhd532pc.png)
- TensorFlow: Democratizing Machine Learning with Open Source Power
What are some alternatives?
every-programmer-should-know - A collection of (mostly) technical things every software developer should know about
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)
bl602-docs - Documentation of the BL602 IC
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
pck3r - This program created for novice in linux and can handle almost things in ubuntu and all distributions based on debian(package manager : "apt")...
scikit-learn - scikit-learn: machine learning in Python