Alternatives and similar repositories for COMPSCI-589

Users that are interested in COMPSCI-589 are comparing it to the libraries listed below

• mackelab / machine-learning-I
  Slides and lecture notes for the course 'machine learning I' taught at the Graduate School Neural Information Processing in Tuebingen.
  ☆31Updated 10 years ago
• thejakeyboy / umich-eecs545-lectures
  This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Ar…
  ☆223Updated 9 years ago
• inf16nyu / home
  ☆78Updated 9 years ago
• glouppe / phd-thesis
  Repository of my thesis "Understanding Random Forests"
  ☆527Updated 9 years ago
• 1094401996 / machine-learning-coursera
  Lecture notes and assignments for coursera machine learning class
  ☆96Updated 12 years ago
• ajtulloch / Elements-of-Statistical-Learning
  Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)
  ☆292Updated 12 years ago
• eecs445-f16 / umich-eecs445-f16
  Materials for EECS 445, an undergraduate Machine Learning course taught at the University of Michigan, Ann Arbor.
  ☆102Updated 9 years ago
• mitdbg / ml-class-iap2017
  ☆21Updated 8 years ago
• harvard-ml-courses / cs181-lectures
  ☆39Updated 6 years ago
• liang456 / Stanford-Probabilistic-Graphical-Models-Coursera
  ☆83Updated 8 years ago
• sdrogers / fcmlcode
  ☆135Updated 4 years ago
• bcaffo / Caffo-Coursera
  A repository of my Coursera latex code and notes
  ☆361Updated 10 years ago
• boboppie / coursera-course-statistics_one
  Statistics One offered by Andrew Conwa of Princeton University on Coursera
  ☆44Updated 13 years ago
• covartech / PRT
  Pattern Recognition Toolbox for MATLAB
  ☆146Updated 3 months ago
• rieder91 / MachineLearning
  Exercises for the Stanford/Coursera Machine Learning Class
  ☆248Updated 13 years ago
• joanbruna / ir18
  Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18
  ☆70Updated 7 years ago
• cliburn / sta-663-2015
  Course materials for STA663
  ☆37Updated 9 years ago
• gkamradt / Lessons-Learned-Data-Science-Interviews
  Lessons learned the hard way through over 30+ data science interviews
  ☆230Updated 5 years ago
• anhncs / Probabilistic-Graphical-Models
  Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.
  ☆104Updated 12 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
• probml / pmtkdata
  A collection of MATLAB data sets used by PMTK.
  ☆57Updated 12 years ago
• blaenk / learning-from-data
  programming assignments for cal tech machine learning class
  ☆41Updated 8 years ago
• dmitriydligach / PyMLSlides
  Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
  ☆314Updated 4 years ago
• deedy / gradcafe_data
  ☆80Updated 10 years ago
• brendenlake / archive-CCM-site
  NYU PSYCH-GA 3405.002 / DS-GS 3001.006 : Computational cognitive modeling
  ☆205Updated 2 years ago
• berkeley-stat238 / stat238-fall-2016
  This repository holds all course materials for the fall 2016 offering of Statistics 238 (Bayesian Statistics) at UC Berkeley.
  ☆30Updated 9 years ago
• msr-ds3 / coursework
  summer school coursework
  ☆298Updated 7 months ago
• rmgarnett / cse515t
  Materials for Bayesian Methods in Machine Learning Course
  ☆92Updated 2 months ago
• dustinstansbury / medal
  Matlab Environment for Deep Architecture Learning
  ☆109Updated 12 years ago
• fcrimins / fcrimins.github.io
  ☆93Updated 10 years ago