└── README.md


/README.md:
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 1 | # awesome_quantmetry
 2 | ![alt text][qm-contrib-head]
 3 | 
 4 | **A list of repositories commonly used at [Quantmetry](https://quantmetry.com)**
 5 | 
 6 | 
 7 | ## Statistics / Machine Learning building blocks
 8 | * [scikit-learn](https://github.com/scikit-learn/scikit-learn)
 9 | * [statsmodels](https://github.com/statsmodels/statsmodels)
10 | * [imbalanced-learn](https://github.com/scikit-learn-contrib/imbalanced-learn) (scikit-contrib)
11 | * [keras](https://github.com/keras-team/keras)
12 | 
13 | 
14 | 
15 | ## Interpretability / Explainable AI
16 | * [SHAP](https://github.com/slundberg/shap)
17 | * [skope-rules](https://github.com/scikit-learn-contrib/skope-rules) (scikit-contrib) ![alt text][qm-contrib]
18 | * [Quantmetry intelligibility resources](https://github.com/Quantmetry/resources-intelligibility)
19 | * [JP-Hall ML-Interpretability awesome list](https://github.com/jphall663/awesome-machine-learning-interpretability)
20 | 
21 | 
22 | ## Natural Language Processing
23 | * [spaCy](https://github.com/explosion/spaCy)
24 | * [NLTK](https://github.com/nltk/nltk)
25 | * [gensim](https://github.com/rare-technologies/gensim)
26 | * [pyLDAvis](https://github.com/bmabey/pyLDAvis)
27 | * [melusine](https://github.com/MAIF/melusine) ![alt text][qm-contrib]
28 | * [Mozilla's implementation of Baidu's DeepSpeech](https://github.com/mozilla/DeepSpeech)
29 | 
30 | 
31 | ## Computer Vision
32 | * [OpenCV](https://github.com/opencv/opencv)
33 | * [scikit-image](https://github.com/scikit-image/scikit-image)
34 | * [retinanet](https://github.com/fizyr/keras-retinanet)
35 | * [OpenCV](https://github.com/opencv/opencv)
36 | * [MaskRCNN](https://github.com/matterport/Mask_RCNN)
37 | 
38 | 
39 | ## Time Series
40 | * [tsfresh](https://github.com/blue-yonder/tsfresh)
41 | * [Facebook Prophet](https://github.com/facebook/prophet)
42 | * [statsmodels](https://github.com/statsmodels/statsmodels)
43 | * [scikit-survival](https://github.com/sebp/scikit-survival)
44 | 
45 | 
46 | ## Data Engineering / deployment
47 | * [Airflow](https://github.com/apache/airflow)
48 | * [PySpark](https://github.com/apache/spark/tree/master/python/pyspark)
49 | * [kafka-confluent](https://github.com/confluentinc/confluent-kafka-python)
50 | * [pipeasy-spark](https://github.com/Quantmetry/pipeasy-spark) ![alt text][qm-contrib]
51 | 
52 | 
53 | ## Web/DataViz
54 | * [Flask](https://github.com/pallets/flask)
55 | * [Dash](https://github.com/plotly/dash)
56 | * [pandas-profiling](https://github.com/pandas-profiling/pandas-profiling)
57 | * [missingno](https://github.com/ResidentMario/missingno)
58 | 
59 | 
60 | [qm-contrib]: https://img.shields.io/static/v1.svg?label=&message=contributor&color=1A829E
61 | [qm-contrib-head]: https://img.shields.io/static/v1.svg?label=QM&message=open-source&color=1A829E
62 | 


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