marksadowski

marksadowski's Stars

• NirDiamant/RAG_Techniques

  This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

  Language:Jupyter Notebook9.8k1k

• mem0ai/mem0

  The Memory layer for your AI apps

  Language:Python23.7k2.2k

• AndrewWalsh/openapi-devtools

  Browser extension that generates API specs for any app or website

  Language:TypeScript4k74

• trekhleb/homemade-machine-learning

  🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

  Language:Jupyter Notebook23.2k4.1k

• guipsamora/pandas_exercises

  Practice your pandas skills!

  Language:Jupyter Notebook11k8.3k

• pyenv/pyenv

  Simple Python version management

  Language:Roff40.1k3.1k

• pyenv/pyenv-virtualenv

  a pyenv plugin to manage virtualenv (a.k.a. python-virtualenv)

  Language:Shell6.4k404

• fastai/fastbook

  The fastai book, published as Jupyter Notebooks

  Language:Jupyter Notebook22.2k8.5k

• dformoso/sklearn-classification

  Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

  Language:Jupyter Notebook693232

• ageron/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.

  Language:Jupyter Notebook28.2k12.8k

• ml-tooling/ml-workspace

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

  Language:Jupyter Notebook3.5k453

• posquit0/Awesome-CV

  :page_facing_up: Awesome CV is LaTeX template for your outstanding job application

  Language:TeX23.5k4.8k

• wzchen/probability_cheatsheet

  A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

  Language:TeX3.1k695

• AllenDowney/BayesMadeSimple

  Code for a tutorial on Bayesian Statistics by Allen Downey.

  Language:Jupyter Notebook347209

• AmoDinho/datacamp-python-data-science-track

  All the slides, accompanying code and exercises all stored in this repo. 🎈

  Language:Python807527

• josephmisiti/awesome-machine-learning

  A curated list of awesome Machine Learning frameworks, libraries and software.

  Language:Python66.5k14.7k

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python19.5k3.1k

• rmcelreath/statrethinking_winter2019

  Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019

  2k392

• pbugnion/jupyterlab-sql

  SQL GUI for JupyterLab

  Language:TypeScript41852

• mrdbourke/your-first-kaggle-submission

  How to perform an exploratory data analysis on the Kaggle Titanic dataset and make a submission to the leaderboard.

  Language:Jupyter Notebook221148

• angelabassa/data-science-competency-matrix

  12534

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook23.2k3.3k