best-of-ml-python
ktrain
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best-of-ml-python | ktrain | |
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16 | 2 | |
15,284 | 1,209 | |
1.2% | - | |
7.9 | 8.3 | |
7 days ago | 13 days ago | |
Python | Jupyter Notebook | |
Creative Commons Attribution Share Alike 4.0 | Apache License 2.0 |
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-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.
ktrain
- Use TensorFlow to run basic regressions like Google AutoML (tabular)
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Increase accuracy of NLP sentiment analysis?
Could be the last resort: pre-trained transformers through ktrain (ktrain has very detailed tutorials and examples)
What are some alternatives?
Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.
osumapper - An automatic beatmap generator using Tensorflow / Deep Learning.
dtale - Visualizer for pandas data structures
GatedTabTransformer - A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.
ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)
Deep-Learning-Computer-Vision - My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.
awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.
do-it-in-keras - Modern Deep Learning architectures and tasks implemented in Keras.
kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
Mask-RCNN-Implementation - Mask RCNN Implementation on Custom Data(Labelme)
NBA-Machine-Learning-Sports-Betting - NBA sports betting using machine learning
konfuzio-sdk - OCR, extract and classify documents. In addition, annotate documents and build your own NLP and Computer Vision models using Python by downloading the data. Find examples in our Colab Notebooks, e. g. how to fine-tune Flair.