Alternatives and similar repositories for easyML

Users that are interested in easyML are comparing it to the libraries listed below

• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated 2 years ago
• Apress / practical-ml-w-python
  Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma
  ☆123Updated 7 years ago
• thedataincubator / DS30_4
  Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator
  ☆30Updated 7 years ago
• PacktPublishing / Large-Scale-Machine-Learning-With-Python
  Code repository for Large Scale Machine Learning with Python, published by Packt
  ☆90Updated 2 years ago
• Hezi-Resheff / Oreilly-OSCON2017-Learning-TensorFlow
  Code and slides for the 2-day TensorFlow training at OSCON 2017 https://conferences.oreilly.com/oscon/oscon-tx/public/schedule/detail/578…
  ☆27Updated 8 years ago
• AileenNielsen / PyGotham_2016_Probabilistic_Graphical_Models
  Presentation + Jupyter Notebook from PyGotham July 2016
  ☆35Updated 2 years ago
• ritchieng / pandas-guides
  Detailed notes and codes on learning pandas quickly for machine learning.
  ☆27Updated 9 years ago
• mlberkeley / Deep-Learning-Decal-Fall-2017
  ☆26Updated 7 years ago
• llSourcell / Dimensionality_Reduction
  This is the Code for "Dimensionality Reduction - The Math of Intelligence #5" By Siraj Raval on Youtube
  ☆50Updated 8 years ago
• PacktPublishing / Hands-on-Unsupervised-Learning-with-Python
  Hands on Unsupervised Learning with Python [Video], Published by Packt
  ☆29Updated 2 years ago
• jdwittenauer / kaggle
  Repository for code used in Kaggle competitions.
  ☆22Updated 7 years ago
• thismlguy / AJ_ML_Library
  This library is a wrapper for sklearn and works with data stored using Pandas module.
  ☆17Updated 9 years ago
• RubensZimbres / Repo-2018
  Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageM…
  ☆173Updated 3 years ago
• rasbt / pydata-annarbor2017-dl-tutorial
  Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
  ☆80Updated 8 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 8 years ago
• aqibsaeed / Tensorflow-ML
  Different machine learning algorithms implementation in Tensorflow
  ☆27Updated 8 years ago
• Apress / advanced-data-analytics-using-python
  Source Code for 'Advanced Data Analytics Using Python' by Sayan Mukhopadhyay
  ☆67Updated 7 years ago
• cran2367 / autoencoder_classifier
  Autoencoder model for rare event classification
  ☆105Updated 6 years ago
• nfmcclure / DataScience350
  Notes for Data Science 350 Class
  ☆24Updated 8 years ago
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 8 years ago
• hugobowne / machine_learning_techniques
  In which I implement some applications of machine learning techniques.
  ☆31Updated 9 years ago
• jseabold / statsmodels-tutorial
  Tutorial Created for SciPy 2012
  ☆58Updated 12 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• jayinai / how-to-kaggle
  A research into the workflow for Kaggle competition (and data science in general) collaboratively
  ☆48Updated 8 years ago
• bhimmetoglu / kaggle_101
  Some work on Kaggle data for fun
  ☆64Updated 8 years ago
• anki1909 / Recruit-Restaurant-Visitor-Forecasting
  6th place solution for Recruit-Restaurant-Visitor-Forecasting
  ☆17Updated 7 years ago
• jxieeducation / Quick-Data-Science-Experiments-2017
  Quick-Data-Science-Experiments
  ☆19Updated 7 years ago
• suriyadeepan / BayesianML
  Experiments in Bayesian Machine Learning
  ☆69Updated 6 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 6 years ago
• PacktPublishing / Python-Deep-Learning-Cookbook
  Python Deep Learning Cookbook, published by Packt
  ☆141Updated 2 years ago