DecisionGate's repositories
Optimization-in-Python
A pack of codes illustrating how an optimization problem (e.g., a mixed-integer linear program) in Operations Research (OR) is solved via different Python packages, namely, mip, pulp, pyomo, ortools, pymoo, gekko, picos, cvxpy, drake, cylp, and pymprog. Please refer to https://www.supplychaindataanalytics.com/modeling-and-solving-optimization-problems-in-python/ for more information.
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
fastai
The fastai deep learning library
awesome-artificial-intelligence
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
Awesome-Deep-Learning-Resources
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier
awesome-jupyter
A curated list of awesome Jupyter projects, libraries and resources
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-python-data-science
Probably the best curated list of data science software in Python.
awesome-python-in-education
A curated list about Python in Education :snake: :mortar_board:
functions-python-tensorflow-tutorial
Source code for "Make machine learning predictions with TensorFlow and Azure Functions" tutorial on Microsoft Docs
Hands-On-Neural-Networks-with-TensorFlow-2.0
Hands-On Neural Networks with TensorFlow 2.0, published by Packt
Interpretable-Machine-Learning-with-Python
Interpretable Machine Learning with Python, published by Packt
java-spark-bigdata-decision-support
java-spark-bigdata-decision-support
keras
Deep Learning for humans
nlp-course
An introduction to Natural Language Processing (NLP) course
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
pytorch-beautiful-ml-data
PyData Global Tutorial on Data Patterns and OOP abstractions for Deep Learning using PyTorch
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
scikit-learn
scikit-learn: machine learning in Python
scikit-learn-pipeline-intro
A quick introduction to writing more robust machine learning code with scikit-learn's pipelines.
stat-cookbook
:orange_book: The probability and statistics cookbook
studio-lab-examples
Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!