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Jay Shah's Projects

alibi-detect icon alibi-detect

Algorithms for outlier and adversarial instance detection, concept drift and metrics.

api-statistical-tests icon api-statistical-tests

An API containing the statistical tests of Kolmolgorov, T student, Friedman, Bartlett, Levene, Mann Whitney, normal distribution and ranksums.

applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-automl-papers icon awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

combo icon combo

A Python Toolbox for Machine Learning Model Combination

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-learning-drizzle icon deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

dswe-package icon dswe-package

An R implementation of some of the data science methods for wind energy (DSWE) applications.

knowledge-repo icon knowledge-repo

A next-generation curated knowledge sharing platform for data scientists and other technical professions.

mlbox icon mlbox

MLBox is a powerful Automated Machine Learning python library.

mlc-llm icon mlc-llm

Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.

mlflow-talk icon mlflow-talk

End to End example integrating MLFlow and Seldon Core

mlxtend icon mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

portfolio icon portfolio

This Portfolio is a compilation of all the Data Science and Data Analysis projects I have done for academic, self-learning and hobby purposes. This portfolio is updated on the regular basis.

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