Alternatives and similar repositories for UCI-ML-API

Users that are interested in UCI-ML-API are comparing it to the libraries listed below

• tirthajyoti / Interactive_Machine_Learning
  IPython widgets, interactive plots, interactive machine learning
  ☆151Updated 6 years ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated last year
• EthicalML / explainability-and-bias
  ☆102Updated 2 years ago
• hadrienj / Preprocessing-for-deep-learning
  This is the notebook associated with the blog post:
  ☆90Updated 5 years ago
• DebPanigrahi / Machine-Learning
  Machine learning algorithms
  ☆112Updated 6 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆135Updated 4 years ago
• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆248Updated 6 years ago
• groverpr / Machine-Learning
  Notes for machine learning
  ☆219Updated 2 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆163Updated 5 years ago
• chrisluedtke / data-science-journal
  Personal repository of data science demonstrations and references
  ☆76Updated 2 years ago
• yanneta / pytorch-tutorials
  ☆242Updated 2 years ago
• neerjad / DataVisualization
  Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph
  ☆267Updated 5 years ago
• fastai / numerical-linear-algebra-v2
  Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program
  ☆275Updated 7 years ago
• jphall663 / GWU_data_mining
  Materials for GWU DNSC 6279 and DNSC 6290.
  ☆239Updated last month
• laurentran / sequence-labeling
  ☆55Updated 7 years ago
• jphall663 / interpretable_machine_learning_with_python
  Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …
  ☆681Updated last year
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆141Updated 5 years ago
• jayinai / kaggle-regression
  A compiled list of kaggle competitions and their winning solutions for regression problems.
  ☆147Updated 8 years ago
• aviolante / sas-python-work
  ☆74Updated 4 years ago
• the-learning-machine / ML-algorithms-python
  This repository contains ML algorithms written in Python.
  ☆58Updated 5 years ago
• hamelsmu / Docker_Tutorial
  Code and helper scripts for article on Medium "How Docker Can Help You Become A More Effective Data Scientist"
  ☆161Updated 5 years ago
• shellshock1911 / Sky-Cast-Capstone
  Sky Cast: A Comparison of Modern Techniques for Forecasting Time Series
  ☆68Updated 7 years ago
• rasbt / stat479-machine-learning-fs18
  Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
  ☆493Updated 6 years ago
• amueller / COMS4995-s19
  COMS W4995 Applied Machine Learning - Spring 19
  ☆302Updated 5 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆104Updated 3 years ago
• jayinai / ml-cheatsheet
  A constantly updated python machine learning cheatsheet
  ☆166Updated 7 years ago
• dipanjanS / art_of_data_visualization
  The art of effective visualization of multi-dimensional data
  ☆160Updated 6 years ago
• CristiVlad25 / ml-sklearn
  Tutorials on Machine Learning with Scikit-Learn
  ☆82Updated 4 years ago
• ageron / awesome-tensorflow
  TensorFlow - A curated list of dedicated resources http://tensorflow.org
  ☆87Updated 7 years ago
• khanhnamle1994 / applied-machine-learning
  A step-by-step guide to get started with Applied Machine Learning
  ☆140Updated 6 years ago