best-of-ml-python
best-of-generator
best-of-ml-python | best-of-generator | |
---|---|---|
16 | 3 | |
15,364 | 63 | |
0.7% | - | |
7.8 | 1.9 | |
1 day ago | 23 days ago | |
Python | Python | |
Creative Commons Attribution Share Alike 4.0 | GNU General Public License v3.0 only |
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.
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.
best-of-generator
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best-of-python: A ranked list of awesome Python libraries and tools
btw. If you like to keep track on how we might implement your suggestion, you can also open an issue here with your suggestions: https://github.com/best-of-lists/best-of-generator/issues/new/choose
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[P] best-of-ml-python: A ranked list of awesome machine learning Python libraries
Good point. Our goal is actually to get to an automated scoring system that can reflect not just popularity, but also lots of other qualitative factors for libraries. With our initial release, we are already taking many different factors into account, not only stars: https://github.com/best-of-lists/best-of-generator#project-quality-score . But there is a lot to improve, and we are working on an improved version of the calculation.
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Top 5 Model Interpretability Libraries for Python
Welcome to the post about the Top 5 Python ML Model Interpretability libraries! You ask yourself how we selected the libraries? Well, we took them from our Best of Machine Learning with Python list. All libraries on this best-of list are automatically ranked by a quality score based on a variety of metrics, such as GitHub stars, code activity, used license and other factors. You can find more details in the best-of-generator repo.
What are some alternatives?
Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.
dtale - Visualizer for pandas data structures
ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
pywsitest - PYthon WebSocket Integration TESTing framework
ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)
best-of-jupyter - 🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.
awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.
ubelt - A Python utility library with a stdlib like feel and extra batteries. Paths, Progress, Dicts, Downloads, Caching, Hashing: ubelt makes it easy!
kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
best-of-python - 🏆 A ranked list of awesome Python open-source libraries and tools. Updated weekly.