python-small-examples
best-of-ml-python
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| python-small-examples | best-of-ml-python | |
|---|---|---|
| 1 | 16 | |
| 7,833 | 15,335 | |
| - | 1.5% | |
| 4.5 | 7.8 | |
| 8 months ago | 2 days ago | |
| Python | Python | |
| - | Creative Commons Attribution Share Alike 4.0 |
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.
python-small-examples
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Ask HN: What are the best tutorial sites for Python?
All these are neither recent (they are updated though) nor AI related. Here you go :
If you are new to dev, I like "think python"
If you are already into programming, I personally find sifting through organized small code snippets helpful for learning a new language :
https://github.com/jackzhenguo/python-small-examples
https://github.com/satwikkansal/wtfpython/blob/master/README...
https://www.30secondsofcode.org/python/p/1
Finally, "The Hitchhiker’s Guide to Python" is good for everything configuration, and usage.
best-of-ml-python
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Ask HN: How to get back into AI?
For Python, here's a nice compilation: https://github.com/ml-tooling/best-of-ml-python/blob/main/RE...
- Best-Of Machine Learning with Python
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Questions regarding Job Requirements for data analyst to data science transition?
You will need numpy, scipy, pandas, scikit-learn, Keras/tensorflow/pytorch, xgboost and many many many others. See this list for example.
- Awesome list of ML
- Are there any speech recognition modules so I can write one and do not have to rely on google and the likes?
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Learning opencv
Take a look at this list on github. It has a pretty comprehensive list of python image libraries.
- Best-of Machine Learning with Python
- 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
What are some alternatives?
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.
wtfpython - What the f*ck Python? 😱
ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
dtale - Visualizer for pandas data structures
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)
awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.
kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
NBA-Machine-Learning-Sports-Betting - NBA sports betting using machine learning
livelossplot - Live training loss plot in Jupyter Notebook for Keras, PyTorch and others