best-of-ml-python
piqa
Our great sponsors
| best-of-ml-python | piqa | |
|---|---|---|
| 16 | 4 | |
| 15,335 | 378 | |
| 1.5% | - | |
| 7.8 | 5.7 | |
| 3 days ago | 6 months ago | |
| Python | Python | |
| Creative Commons Attribution Share Alike 4.0 | MIT License |
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
-
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
-
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?
-
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.
piqa
-
What's the best strategy to get contributors and stars on a repository?
One good solution is to find someone with a problem (e.g. on Stack Overflow, Stack Exchange, Reddit, or even GitHub issues) that your project solves. That is what I did for a Python library I implemented (piqa), and people seemed to like it.
- PIQA, my first open-source project, reached 100 stars on GitHub today !
-
What are some of your gold standard Python open source repos you discovered here or elsewhere that have very high quality, commented and understandable code that use best practices?
I'm currently developing piqa a Python package for Image Quality Assessment and I really try to make the code concise, readable and understandable. Have a look 😉
-
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
I see there is no image quality library (IQA) library in your list. I've made one for PyTorch - piqa - recently. It is still an early project, but there are already a few very useful metrics.
What are some alternatives?
Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.
image-similarity-measures - :chart_with_upwards_trend: Implementation of eight evaluation metrics to access the similarity between two images. The eight metrics are as follows: RMSE, PSNR, SSIM, ISSM, FSIM, SRE, SAM, and UIQ.
ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
video-quality-metrics - Test specified presets/CRF values for the x264 or x265 encoder. Compares VMAF/SSIM/PSNR numerically & via graphs.
dtale - Visualizer for pandas data structures
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)
colorama - Simple cross-platform colored terminal text in Python
awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.
rich - Rich is a Python library for rich text and beautiful formatting in the terminal.
kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
cppdep - C/C++ Dependency Analyzer: a rewrite of John Lakos' dep_utils (adep/cdep/ldep) from "Large-Scale C++ Software Design"