MarkusDegen

MarkusDegen's Stars

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python170k1.5k3k44.7k

• rails/rails

  Ruby on Rails

  Language:Ruby56.3k2.3k17.9k21.7k

• academic/awesome-datascience

  :memo: An awesome Data Science repository to learn and apply for real world problems.

  25.5k1.4k595.9k

• chiphuyen/ml-interviews-book

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

  Language:HTML3.5k4614539

• vkhorikov/CSharpFunctionalExtensions

  Functional extensions for C#

  Language:C#2.5k81272308

• ashishpatel26/LLM-Finetuning

  LLM Finetuning with peft

  Language:Jupyter Notebook2.3k333622

• unclebob/fitnesse

  FitNesse -- The Acceptance Test Wiki

  Language:Java2.1k150777714

• feature-engine/feature_engine

  Feature engineering package with sklearn like functionality

  Language:Python2k33328316

• dchelimsky/rspec

  Behaviour Driven Development framework for Ruby

  Language:Ruby1.7k290171

• brynary/webrat

  Webrat - Ruby Acceptance Testing for Web applications

  Language:Ruby1.5k250275

• koaning/scikit-lego

  Extra blocks for scikit-learn pipelines.

  Language:Python1.3k22326119

• sarthaksavvy/100DaysOfAWS

  Language:Shell816690180

• koaning/human-learn

  Natural Intelligence is still a pretty good idea.

  Language:Jupyter Notebook800154354

• lancedb/vectordb-recipes

  High quality resources & applications for LLMs, multi-modal models and VectorDBs

  Language:Jupyter Notebook660920117

• MolecularMatters/psd_sdk

  A C++ library that directly reads Photoshop PSD files.

  Language:C++620211879

• koaning/doubtlab

  Doubt your data, find bad labels.

  Language:Python50772317

• matthewwardrop/formulaic

  A high-performance implementation of Wilkinson formulas for Python.

  Language:Python3571211825

• aws-samples/serverless-samples

  This repository contains samples of Serverless application code.

  Language:Python285124117

• abeisgoat/tf-jam

  Tensor Jam: Shooting Hoops with Machine Learning

  Language:ShaderLab26628270

• koaning/calm-notebooks

  notebooks that are used at calmcode.io

  Language:Jupyter Notebook259113213

• unclebob/PPP

  Excercises for Principles, Patterns, and Practices, iHop, Pood.

  Language:Java16417263

• JayBazuzi/Mobbing-Pattern-Language

  Language:HTML294511

• unclebob/tddrefcpp

  Exercises and Examples for TDD/REF in C++

  Language:C++10506

• rogersdepelle/word2vec-financial-sentiment

  Word2vec Financial Sentiment

  Language:Python3503

• SvenWinkler/CodingDojo

  2

• jasongorman/async_mars_rover

  A multi-threaded version of the famous Mars Rover. How would you unit test the go() method?

  Language:Java130

• MarkusDegen/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.

  Language:Jupyter Notebook1100