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Name: Aravind
Type: User
Aravind's Projects
adanet
Fast and flexible AutoML with learning guarantees.
bayesboost
Bayesian Optimization using xgboost and sklearn API
corr_graph
Short example for creating a correlation graph with Pandas and Gephi.
eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
expert-python-programming_second-edition
Become an ace Python programmer by learning best coding practices and advance-level concepts with Python 3.5
hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
imbalanced-learn
Python module to perform under sampling and over sampling with various techniques.
influence_boosting
Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
installations
Setting up azure on python
interpretable_machine_learning_with_python
Practical techniques for interpreting machine learning models.
missingno
Missing data visualization module for Python.
mli-resources
Machine Learning Interpretability Resources
neuralmonkey
An open-source tool for sequence learning in NLP built on TensorFlow.
nuance
Visualization ideas for data science
py_d3
D3 block magic for Jupyter notebook.
pydqc
python automatic data quality check toolkit
rulefit
Python implementation of the rulefit algorithm
shap
A unified approach to explain the output of any machine learning model.
sklearn-expertsys
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
sklearn-genetic
Genetic feature selection module for scikit-learn
spark-the-definitive-guide
Spark: The Definitive Guide's Code Repository
style_transfer
Artistic Style Transfer using tensorflow stack.
tensorflow-examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
tsfresh
Automatic extraction of relevant features from time series:
yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.
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