Markus Degen's repositories
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
AgileEngineeringFluency
A model for undertanding the specific proficiencies involved in creating a good 2+star agile team. Initial draft presented at Agile 2013.
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
Coursera-Machine-Learning-Stanford
Machine learning-Stanford University
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
Deep-Learning-Coursera-1
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
doubtlab
Doubt your data, find bad labels.
EffectiveTensorflow
TensorFlow tutorials and best practices.
expan
Open-source Python library for statistical analysis of randomised control trials (A/B tests)
gpt-engineer
Specify what you want it to build, the AI asks for clarification, and then builds it.
GPTeam
GPTeam: An open-source multi-agent simulation
hands-on-llms
๐ฆ ๐๐ฒ๐ฎ๐ฟ๐ป about ๐๐๐ ๐, ๐๐๐ ๐ข๐ฝ๐, and ๐๐ฒ๐ฐ๐๐ผ๐ฟ ๐๐๐ for free by designing, training, and deploying a real-time financial advisor LLM system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + ๐ท๐ช๐ฅ๐ฆ๐ฐ & ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด
handson-ml2
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.
MarkusDegen-using-scikit-learn-lp
My repository for liveProject: Using scikit-learn
ml-cheatsheet
Machine learning cheatsheet
ml_resources
A selection of machine learning resources
MLwithTensorFlow2ed
Code for Machine Learning with TensorFlow: 2nd Edition Published by Manning Publications
online-cv
A minimal Jekyll Theme to host your resume (CV) on GitHub with few clicks.
scikit-lego
Extra blocks for scikit-learn pipelines.
Solutions-Machine-Learning-by-Andrew-ng-coursera---
Solutions of coursera's Machine learning course by Andrew ng
tictactoe1
TicTacToe Kata 1