Top 23 Jupyter Notebook Python Projects
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A linear regression model
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The Python Data Science Handbook: https://github.com/jakevdp/PythonDataScienceHandbook
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OPS
OPS - Build and Run Open Source Unikernels. Quickly and easily build and deploy open source unikernels in tens of seconds. Deploy in any language to any cloud.
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Standing recommendation for beginners (we should eventually make a wiki) is https://madewithml.com/
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three educational courses- Web Dev, ML, and IoT for beginners. Note re using educational resources as a strategy for marketing , at least the ML course links to various Azure services. Google does this a bunch as well, with Collab notebooks often being used to demo educational materials.
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Project mention: Good practices for neural network training: identify, save, and document best models | dev.to | 2022-01-04
If you are unaware of what fastai is, its official description is:
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homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Project mention: Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained | reddit.com/r/MachineLearning | 2021-10-27 -
Project mention: norvig/pytudes: Python programs, usually short, of considerable difficulty, to perfect particular skills. | reddit.com/r/savedForMS | 2021-12-27
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Scout APM
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
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I’m a fan of fast book by fastai.
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awesome-python-applications
💿 Free software that works great, and also happens to be open-source Python.
Project mention: Where can I find real world django projects to read? | reddit.com/r/django | 2022-01-01 -
python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
Project mention: What is the purpose of meshgrid in Python / NumPy? | reddit.com/r/codehunter | 2022-01-06I am studying "Python Machine Learning" from Sebastian Raschka, and he is using it for plotting the decision borders. See input 11 here.
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2 packages I want to mention is pandas-profiling and Mito.
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Project mention: I made a YT video showing how to host your own super accurate (microsecond) network time (NTP) server using the PPS output of a $12 GPS module | reddit.com/r/selfhosted | 2022-01-13
Love this kind of project. To me this is just like https://github.com/open-quantum-safe/oqs-demos/ or https://github.com/OpenMined/PySyft or even k3s so often mentioned in this sub in the sense that I personally don't have a need for it. Yet I find it amazing that us, random curious geeks, have access to this kind of mind blowing technologies for basically free.
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H2O
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Built and founded various web3 projects for last 2 years such as OpenArt and 8RealmDojo for last 2 years as well as being high performing student in CTU in Prague and SeoulTech. Was offered internships in Amazon and H2O.ai. Created robots assistants using robots from SoftBank.
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TTS
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
Project mention: Ich werde bald, vorrausichtlich noch dieses Jahr, stumm werden. Was nun? | reddit.com/r/de | 2022-01-15 -
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Project mention: Andrew Ng or more hands-on course? | reddit.com/r/learnmachinelearning | 2021-08-02
I will give it a look into Ng's course, try out some of the resources in this github and look into this website too
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Intel BigDL for Spark which again is for Spark.
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A while back I open sourced a repository implementing fundamental machine learning algorithms in Python, along with the most important theoretical information. I originally created the repository for myself when preparing for AI residency interviews. You can find the original Reddit post here.
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Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
Project mention: Ask HN: Best Resources on (Computational) Finance | news.ycombinator.com | 2021-01-30I found this collection of Jupyter notebooks really well done. Some basic knowledge in stochastic calculus, financial mathematics and statistics is needed.
https://github.com/cantaro86/Financial-Models-Numerical-Meth...
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Here's a nice blog post which contains references. It uses Q#, and Microsoft has many online resources as well, namely a here and here.
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Looks like a nice project. I just bookmarked it to try sometime.
At a previous job, my boss wanted me to spend time on AutoML. I based my work on Google’s AdaNet [1] that did architecture search inside a single TensorFlow session. Unfortunately that project seems to have been abandoned.
Jupyter Notebook Python related posts
- Coleta de dados de ações Brasileiras e Americanas
- Book for a specific purpose
- Any good resources for an experienced Java developer new to Python?
- New ruDALL-E 1.3 billion parameter model version 3 has been released with ruDALL-E v1.0.0
- Performance Analysis: Performance analysis of predictive (alpha) stock factors. Factor and Risk Analysis - star count:2144.0
- Performance Analysis: Performance analysis of predictive (alpha) stock factors. Factor and Risk Analysis - star count:2144.0
- The cure cannot be worse than the problem. Let’s get back to normal.
Index
What are some of the best open-source Python projects in Jupyter Notebook? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | TensorFlow-Examples | 41,573 |
| 2 | PythonDataScienceHandbook | 32,291 |
| 3 | MadeWithML | 29,409 |
| 4 | ML-For-Beginners | 28,735 |
| 5 | fastai | 21,844 |
| 6 | homemade-machine-learning | 18,774 |
| 7 | pytudes | 18,098 |
| 8 | fastbook | 14,148 |
| 9 | awesome-python-applications | 13,344 |
| 10 | python-machine-learning-book | 11,454 |
| 11 | PRML | 10,260 |
| 12 | pandas-profiling | 8,399 |
| 13 | Data-Science-For-Beginners | 8,027 |
| 14 | PySyft | 7,871 |
| 15 | H2O | 5,691 |
| 16 | TTS | 5,537 |
| 17 | pycaret | 4,943 |
| 18 | py | 4,304 |
| 19 | BigDL | 3,824 |
| 20 | machine_learning_basics | 3,586 |
| 21 | Financial-Models-Numerical-Methods | 3,562 |
| 22 | Quantum | 3,467 |
| 23 | adanet | 3,351 |
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