Shaunak Sen's starred repositories
awesome-public-datasets
A topic-centric list of HQ open datasets.
Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
ydata-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
great_expectations
Always know what to expect from your data.
h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
deep-learning-keras-tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
keras-tuner
A Hyperparameter Tuning Library for Keras
practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
machine_learning_refined
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
interpret-community
Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.
scikit-rebate
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
awesome-h2o
A curated list of research, applications and projects built using the H2O Machine Learning platform
Leetcode_solutions
Solutions for problems of leetcode