Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome_quantmetry
A list of repositories commonly used @ Quantmetry
https://github.com/Quantmetry/awesome_quantmetry
- scikit-learn
- statsmodels
- imbalanced-learn - contrib)
- keras
- SHAP
- skope-rules - contrib) ![alt text][qm-contrib]
- Quantmetry intelligibility resources
- JP-Hall ML-Interpretability awesome list
- spaCy
- NLTK
- gensim
- pyLDAvis
- melusine - contrib]
- Mozilla's implementation of Baidu's DeepSpeech
- OpenCV
- scikit-image
- retinanet
- OpenCV
- MaskRCNN
- tsfresh
- Facebook Prophet
- statsmodels
- scikit-survival
- Airflow
- PySpark
- kafka-confluent
- pipeasy-spark - contrib]
- Flask
- Dash
- pandas-profiling
- missingno
Programming Languages
Keywords
python
15
machine-learning
10
data-science
9
deep-learning
5
data-analysis
4
statistics
3
neural-networks
3
r
3
tensorflow
3
nlp
3
natural-language-processing
3
data-visualization
2
computer-vision
2
image-processing
2
interpretability
2
flask
2
forecasting
2
nltk
1
courriels
1
datascience
1
emails
1
nlp-machine-learning
1
tokenization
1
python3
1
deepspeech
1
text-classification
1
embedded
1
offline
1
on-device
1
speech-recognition
1
speech-to-text
1
c-plus-plus
1
opencv
1
spec-0
1
spec-1
1
spec-4
1
instance-segmentation
1
keras
1
mask-rcnn
1
jax
1
pytorch
1
ai-safety
1
awesome
1
awesome-list
1
explainable-ml
1
fairness
1
interpretable-ai
1
interpretable-machine-learning
1
interpretable-ml
1
machine-learning-interpretability
1