mark-mediware

mark-mediware's Stars

• GeorgeQLe/Textbooks-and-Papers

  15368

• SkalskiP/courses

  This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

  Language:Python5.6k508

• openai/openai-cookbook

  Examples and guides for using the OpenAI API

  Language:MDX61.2k9.8k

• fastai/fastbook

  The fastai book, published as Jupyter Notebooks

  Language:Jupyter Notebook22.4k8.6k

• eriklindernoren/ML-From-Scratch

  Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

  Language:Python24.2k4.6k

• laurencium/Causalinference

  Causal Inference in Python

  Language:Python55391

• EpistasisLab/tpot

  A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

  Language:Python9.8k1.6k

• hibayesian/awesome-automl-papers

  A curated list of automated machine learning papers, articles, tutorials, slides and projects

  4k694

• dipanjanS/practical-machine-learning-with-python

  Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

  Language:Jupyter Notebook2.3k1.6k

• fastai/fastai

  The fastai deep learning library

  Language:Jupyter Notebook26.5k7.6k

• WillKoehrsen/hyperparameter-optimization

  Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

  Language:Jupyter Notebook623324

• WillKoehrsen/Data-Analysis

  Data Science Using Python

  Language:Jupyter Notebook5.2k3.6k

• ossu/computer-science

  🎓 Path to a free self-taught education in Computer Science!

  174k22.1k

• Azure/Azure-TDSP-ProjectTemplate

  TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.

  Language:R540442

• rasbt/stat479-machine-learning-fs18

  Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison

  Language:Jupyter Notebook493229

• TeamHG-Memex/eli5

  A library for debugging/inspecting machine learning classifiers and explaining their predictions

  Language:Jupyter Notebook2.8k332

• amueller/advanced_training

  Advanced Scikit-learn training session

  Language:Jupyter Notebook11840

• zacstewart/kaggle_house_prices

  Language:Jupyter Notebook3

• mp2893/retain

  RETAIN: Interpretable Predictive Model in Healthcare using Reverse Time Attention Mechanism

  Language:Python21379

• marcotcr/lime

  Lime: Explaining the predictions of any machine learning classifier

  Language:JavaScript11.7k1.8k

• apache/airflow

  Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

  Language:Python38.3k14.5k

• rasbt/python-machine-learning-book-2nd-edition

  The "Python Machine Learning (2nd edition)" book code repository and info resource

  Language:Jupyter Notebook7.1k2.8k

• UltravioletAnalytics/kaggle-titanic

  Kaggle Titanic Comp

  Language:Python5442