milan-chicago Goto Github PK

make-me-a-drink

mediumposts

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

milan.github.io

mk-tfjs

Play MK.js with TensorFlow.js

ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

ml-dl-ai-projects

Machine Learning, Deep Learning and AI projects used for my trainings

ml-for-beginners

12 weeks, 25 lessons, 50 quizzes, classic Machine Learning for all

ml-foundations

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

ml-interviews-book

https://huyenchip.com/ml-interviews-book/

ml-notebooks

:fire: A series of code examples for all sorts of machine learning tasks and applications.

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

ml-with-projects

The notebooks for my ML with projects talk for the deeplearning.ai community

ml-workspace

🛠 All-in-one web-based IDE specialized for machine learning and data science.

ml-youtube-courses

A repository to index and organize the latest machine learning courses found on YouTube.

ml_model_for_predicting_ships_crew_size

ml_models

ml_sklearn

This a repository for ML for developers in sklearn course

mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

mlflow

Open source platform for the machine learning lifecycle

mlo3

MLOps Cohort 3 (March 2022)

mlops-and-systems

FourthBrain MLOps and System Training

mlops-summer-2022

My journey to becoming an ML Operations (MLOps) Engineer! 🎉

monk_object_detection

A one-stop repository for low-code easily-installable object detection pipelines.

msds621

Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning

neural_network_performance_guide_2

Materials for RCC workshop "Performance Guidelines of Neural Network Models Part 2

nevergrad

A Python toolbox for performing gradient-free optimization

nlp-in-python-tutorial

comparing stand up comedians using natural language processing

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nlp-recipes

Natural Language Processing Best Practices & Examples