Pinned Repositories
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.
sorgina13-zz's Repositories
sorgina13-zz/aima-data
Data files to accompany the algorithms from Norvig And Russell's "Artificial Intelligence - A Modern Approach"
sorgina13-zz/aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
sorgina13-zz/azure-ai-hands-on-training
Materials & References for the Azure AI Hands-On Training
sorgina13-zz/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.
sorgina13-zz/ComputerVision
Best Practices, code samples, and documentation for Computer Vision.
sorgina13-zz/Deep-SORT-YOLOv4
Deep SORT and YOLO v4 for people tracking and detection with Tensorflow backend.
sorgina13-zz/DeepFin-Series-JPMorgan
Repo for DeepFin Tutorial Series
sorgina13-zz/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.
sorgina13-zz/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.
sorgina13-zz/full_gitactions
sorgina13-zz/GradiantDescent
sorgina13-zz/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
sorgina13-zz/MLOPsPython
sorgina13-zz/MV3D_TF
Tensorflow implementation of Multi-View 3D Object Detection Network (in progress)
sorgina13-zz/python-cv-samples
Python computer vision samples
sorgina13-zz/RCAN-tf
TensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
sorgina13-zz/recommenders
Best Practices on Recommendation Systems
sorgina13-zz/SLkNN
A soft-label k-Nearest Neighbors classifier.
sorgina13-zz/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.
sorgina13-zz/Tensorflow-A-Mano
sorgina13-zz/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition