ShaunakSen

Shaunak Sen's starred repositories

awesome-public-datasets

A topic-centric list of HQ open datasets.

MIT59805 2270 113

Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Language:Jupyter NotebookMIT36972 1223 71

netron

Visualizer for neural network, deep learning and machine learning models

Language:JavaScriptMIT27228 297 1110

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Language:PythonNOASSERTION22953 411 291

shap

A game theoretic approach to explain the output of any machine learning model.

Language:Jupyter NotebookMIT22345 238 2519

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Language:PythonMIT18211 450 2138

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Language:Jupyter NotebookMIT18133 647 184

ydata-profiling

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

Language:PythonMIT12352 152 801

great_expectations

Always know what to expect from your data.

Language:PythonApache-2.09769 82 1858

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

Language:PythonNOASSERTION7181 122 650

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.

Language:Jupyter NotebookApache-2.06844 385 9413

interpret

Fit interpretable models. Explain blackbox machine learning.

Language:C++MIT6177 144 441

Production-Level-Deep-Learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

4306 166 3

Deep_reinforcement_learning_Course

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Language:Jupyter Notebook3761 134 74

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

Language:Jupyter NotebookMIT2939 199 17

keras-tuner

A Hyperparameter Tuning Library for Keras

Language:PythonApache-2.02844 64 486

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.

Language:Jupyter NotebookApache-2.02245 160 31

hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

Language:PythonMIT2174 63 257

ngboost

Natural Gradient Boosting for Probabilistic Prediction

Language:PythonApache-2.01632 44 206

machine_learning_refined

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

Language:PythonNOASSERTION1620 76 28

boruta_py

Python implementations of the Boruta all-relevant feature selection method.

Language:PythonBSD-3-Clause1474 40 88

deeplift

Public facing deeplift repo

Language:PythonMIT810 37 89

hyperparameter_hunter

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Language:PythonMIT702 23 116

interpret-community

Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.

Language:PythonMIT418 20 91

scikit-rebate

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

Language:PythonMIT405 24 34

rgf

Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.

Language:C++373 18 76

awesome-h2o

A curated list of research, applications and projects built using the H2O Machine Learning platform

371 147 3

HBD

:birthday: Coder's way of wishing Happy Birthday! :cake: :confetti_ball: :tada: :balloon:

Language:HTMLMIT153 5 8

mlflow

Open source platform for the machine learning lifecycle

Language:PythonApache-2.095 130

Leetcode_solutions

Solutions for problems of leetcode

100