nkmhd3

nkmhd3's Stars

• awesomedata/awesome-public-datasets

  A topic-centric list of HQ open datasets.

  61.6k2.3k11710k

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python60.7k2.1k11.3k25.5k

• BVLC/caffe

  Caffe: a fast open framework for deep learning.

  Language:C++34.2k2.1k4.8k18.7k

• donnemartin/data-science-ipython-notebooks

  Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  Language:Python27.7k1.6k417.9k

• d2l-ai/d2l-en

  Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

  Language:Python24.5k4202964.4k

• shap/shap

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

  Language:Jupyter Notebook23.2k2452.6k3.3k

• fastai/fastbook

  The fastai book, published as Jupyter Notebooks

  Language:Jupyter Notebook22.3k5102388.6k

• ShangtongZhang/reinforcement-learning-an-introduction

  Python Implementation of Reinforcement Learning: An Introduction

  Language:Python13.7k555994.8k

• marcotcr/lime

  Lime: Explaining the predictions of any machine learning classifier

  Language:JavaScript11.7k2626351.8k

• openai/spinningup

  An educational resource to help anyone learn deep reinforcement learning.

  Language:Python10.3k2302892.3k

• MAIF/shapash

  🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

  Language:Jupyter Notebook2.8k37220334

• AIStream-Peelout/flow-forecast

  Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

  Language:Python2.1k28200297

• EthicalML/xai

  XAI - An eXplainability toolbox for machine learning

  Language:Python1.1k4411175

• PAIR-code/what-if-tool

  Source code/webpage/demos for the What-If Tool

  Language:HTML92830126172

• solliancenet/microsoft-learning-paths-databricks-notebooks

  Contains notebooks used in the Microsoft Azure Databricks Learning Paths modules.

  1741410172

• scottbass/SAS

  All things SAS related (programs, macros, presentations, etc)

  Language:SAS15916275

• sassoftware/sas-viya-programming

  Code samples and materials to help you learn to access SAS Viya services by writing programs in Python and other open-source languages.

  Language:Jupyter Notebook138552134

• sassoftware/enlighten-apply

  Example code and materials that illustrate applications of SAS machine learning techniques.

  Language:SAS127450113

• CMU-MultiComp-Lab/mmml-course

  Language:HTML867014

• CMU-MultiComp-Lab/adv-mmml-course

  Language:HTML33637

• CMU-MultiComp-Lab/mmml-tutorial

  Language:HTML27408

• frgrisk/SASPerformanceAnalytics

  Language:SAS2014

• nkmhd3/enlighten-apply

  Example code and materials that illustrate applications of SAS machine learning techniques.

  Language:SAS1200