eliekawerk Goto Github PK

mir_program_kadenze

Supporting material for the Kadenze Music Information Retrieval Program

mixape-causal-inference-2

Causal Inference II Mixtape Session taught by Scott Cunningham

mixtape-advanced-did

Advanced Differnce-in-Differences Mixtape Track taught by Jonathan Roth

mixtape-causal-inference-1

Causal Inference 1 Mixtape Session taught by Scott Cunningham

mixtape-heterogeneous-effects

Machine Learning and Heterogeneous Effects taught by Brigham Frandsen

mixtape-instrumental-variables

Instrumental Variables Mixtape Track taught by Peter Hull

mixtape-shift-share

Shift-Share Instrument Mixtape Track taught by Peter Hull

mixtape-synthetic-control-and-clustering

Synthetic-Control-and-Clustering taught by Alberto Abadie

ml-api

Guide on creating an API for serving your ML model

ml-bytebytego

ml-course-notes

🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.

ml-deployment

Code repository for the coding examples shown in ML Innovate 2020

ml-design-docs

📄 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)

ml-design-patterns

Software Architecture for ML engineers

ml-foundations

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

ml-from-scratch

Python implementations of Machine Learning models and algorithms from scratch. Aims to cover everything from Data Mining techniques to Deep Learning.

ml-monitoring

A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.

ml-pen-and-paper-exercises

Pen and paper exercises in machine learning

ml-powered-applications

Companion repository for the book Building Machine Learning Powered Applications

ml-system-design

Machine Learning System Design

ml-system-design-pattern

System design patterns for machine learning

ml-system-in-actions

machine learning system examples

ml-web-app

Train and Deploy Simple Machine Learning Model With Web Interface - Docker, PyTorch & Flask

ml-workflow-automation

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

ml-youtube-courses

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

mlalgorithms

Minimal and clean examples of machine learning algorithms implementations

mlbookcamp-code

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

mle-tech-interviews

Machine Learning Engineer interview preparation. Brushing up Data Structures & Algorithms, System Design and SQL

mlops-basics

mlops-course

A project-based course on the foundations of MLOps with a focus on intuition and application.