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The University of Texas at Austin
- Austin, TX
- http://www.teymourian.de
- https://www.cs.utexas.edu/people/faculty-researchers/kia-teymourian
- in/kia-teymourian-80717b15
Highlights
- Pro
Stars
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Companion webpage to the book "Mathematics For Machine Learning"
Public facing notes page
TensorFlow Tutorials with YouTube Videos
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
We are building an open database of COVID-19 cases with chest X-ray or CT images.
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoe…
Code base for the Learning PySpark book (in preparation)
Fundamentals of Spark with Python (using PySpark), code examples
Natural Language Processing with TensorFlow, published by Packt
Cloud Dataproc: Samples and Utils
A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm
Python tutorials and puzzles to share with the world!
PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
STA663 Statistical Computing and Computation, Spring 2016
Collection of iPython notebooks for UB CSE Machine Learning course (CSE 474/574)
Andrew Ng's Machine Learning Course Python Solutions
Materials for a computer science course on tools for data science.
Explained machine learning models and projects based on ML
Chapter 4: Basics of Deep Learning
Code Examples for Cloud Computing and Big Data Processing