best-of-python-dev
best-of-ml-python
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best-of-python-dev | best-of-ml-python | |
---|---|---|
2 | 16 | |
895 | 15,208 | |
2.9% | 1.3% | |
7.8 | 7.9 | |
7 days ago | 7 days ago | |
Python | Python | |
Creative Commons Attribution Share Alike 4.0 | 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.
best-of-python-dev
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[P] best-of-ml-python: A ranked list of awesome machine learning Python libraries
Awesome! Yep, we have a list for all kinds of python dev-tools here. Community contributions need to be done via issue or pull request as documented here. There is still work involved to curated and categorize projects, however, ranking, updating of metadata, and most other parts are automized. We have scripts that already provide as with a prefiltered list of potential projects (e.g. by analyzing the top 1000 pypi projects), but the final curation happens manually.
best-of-python-dev: Python developer tools and libraries:
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...
- Are there any speech recognition modules so I can write one and do not have to rely on google and the likes?
- 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
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best-of-python: A ranked list of awesome Python libraries and tools
Here ya go: https://github.com/ml-tooling/best-of-ml-python/pull/47
It's included, but on the machine learning list here: https://github.com/ml-tooling/best-of-ml-python#data-containers--structures which is linked a few times on the python list.
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[P] best-of-ml-python: A ranked list of awesome machine learning Python libraries
best-of-ml-python: Python libraries for machine learning.
What are some alternatives?
Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.
ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
dtale - Visualizer for pandas data structures
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
speechbrain - A PyTorch-based Speech Toolkit
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
VeRyPy - A python library with implementations of 15 classical heuristics for the capacitated vehicle routing problem.
petastorm - Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.