lambda-packs
best-of-ml-python
| lambda-packs | best-of-ml-python | |
|---|---|---|
| 1 | 16 | |
| 1,106 | 15,335 | |
| - | 0.7% | |
| 4.0 | 7.8 | |
| 6 months ago | 7 days ago | |
| Python | Python | |
| MIT License | 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.
lambda-packs
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Using TensorFlow and the Serverless Framework for deep learning and image recognition
As a hobby, I port a lot of libraries to make the serverless friendly. You can look at them here. They all have an MIT license, so feel free to modify and use them for your project.
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?
equilib - 🌎→🗾Equirectangular (360/panoramic) image processing library for Python with minimal dependencies only using Numpy and PyTorch
Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
dtale - Visualizer for pandas data structures
mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.
Photomosaic-Creator - This script allows you to create a photomosaic from a set of images.
kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data