Aslam Shaik's starred repositories

ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

mlops-course

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

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MEDIUM_NoteBook

Repository containing notebooks of my posts on Medium

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fastai_deeplearn_part1

Notes for Fastai Deep Learning Course

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pytorch-original-transformer

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

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cs329s-ml-deployment-tutorial

Code and files to go along with CS329s machine learning model deployment tutorial.

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machine-learning-with-python-cookbook-notes

(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form

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100-Days-Of-ML-Code

100 Days of ML Coding

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awesome-mlops

A curated list of references for MLOps

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best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

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euroscipy-numpy-tutorial

Introduction to NumPy arrays

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machine-learning-with-python-cookbook-notes

(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form

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ml-design-patterns

Source code accompanying O'Reilly book: Machine Learning Design Patterns

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mlbookcamp-code

The code from the Machine Learning Bookcamp book

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mlday-tokyo

Colabs for ML Day Tokyo

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notebooks-1

Interactive Jupyter Notebooks for learning materials

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Practical-Deep-Learning-Book

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

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Predict_Transactions

A predictive model to forecast sales using historical transaction data.

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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 ;)

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python-for-econometrics-statistics-data-analysis

Code from "Introduction to Python for Econometrics, Statistics and Data Analysis" by Kevin Sheppard

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pytorchTutorial

PyTorch Tutorials from my YouTube channel

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reprodl2021

Host repository for the "Reproducible Deep Learning" PhD course

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scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

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tensorflow-deep-learning

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

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tensorflow-for-ict-applications

Notebooks for the PhD course on TensorFlow

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video-explainer-notebooks

Jupyter notebooks from my YouTube series: Python standard library video explainer

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credit-card-fraud

simple examle using synthetic data

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