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aima-data

Data files to accompany the algorithms from Norvig And Russell's "Artificial Intelligence - A Modern Approach"

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

azure-ai-hands-on-training

Materials & References for the Azure AI Hands-On Training

azuremachinelearninggallery

Azure Machine Learning Gallery enables our growing community of developers and data scientists to share their machine learning pipelines, components, etc. to accelerate productivity in the machine learning lifecycle.

computervision

Best Practices, code samples, and documentation for Computer Vision.

deep-sort-yolov4

Deep SORT and YOLO v4 for people tracking and detection with Tensorflow backend.

deepfin-series-jpmorgan

Repo for DeepFin Tutorial Series

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

dslp

The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.

full_gitactions

gradiantdescent

machine-learning-with-python

Python code for common Machine Learning Algorithms

mlopspython

mv3d_tf

Tensorflow implementation of Multi-View 3D Object Detection Network (in progress)

python-cv-samples

Python computer vision samples

rcan-tf

TensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

recommenders

Best Practices on Recommendation Systems

slknn

A soft-label k-Nearest Neighbors classifier.

tda-tutorial

A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences libraries.

tensorflow-a-mano

thinkstats2

Text and supporting code for Think Stats, 2nd Edition