best-of-ml-python
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| best-of-ml-python | livelossplot | |
|---|---|---|
| 16 | 1 | |
| 15,335 | 1,282 | |
| 1.5% | - | |
| 7.8 | 0.0 | |
| 3 days ago | almost 2 years 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
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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.
livelossplot
What are some alternatives?
Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.
pytorch-summary - Model summary in PyTorch similar to `model.summary()` in Keras
ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
tf-keras-vis - Neural network visualization toolkit for tf.keras
dtale - Visualizer for pandas data structures
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. [Moved to: https://github.com/horovod/horovod]
awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
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.