Alternatives and similar repositories for PRMLPY

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

• alexsosn / MarslandMLAlgo
  Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.
  ☆148Updated 4 years ago
• liang456 / Stanford-Probabilistic-Graphical-Models-Coursera
  ☆83Updated 8 years ago
• Wrosinski / MachineLearning_ResourcesCompilation
  Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.
  ☆93Updated 8 years ago
• wiseodd / probabilistic-models
  Collection of probabilistic models and inference algorithms
  ☆239Updated 5 years ago
• inf16nyu / home
  ☆78Updated 9 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆137Updated 5 years ago
• nsanghi / bayesian-methods-for-ml
  My solutions to Coursera hosted Bayesian methods course. (https://www.coursera.org/learn/bayesian-methods-in-machine-learning)
  ☆27Updated 7 years ago
• GokuMohandas / the-neural-perspective
  📓 Notes from The Neural Perspective (discontinued) blog.
  ☆83Updated 7 years ago
• tgjeon / Keras-Tutorials
  Simple tutorials using Keras Framework
  ☆267Updated 8 years ago
• PacktPublishing / Python-Deep-Learning-Cookbook
  Python Deep Learning Cookbook, published by Packt
  ☆141Updated 2 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
• tegg89 / Deep-tutorials
  A collection of tutorials from Deep Learning conferences.
  ☆32Updated 9 years ago
• llSourcell / Gaussian_Mixture_Models
  This is the code for "Gaussian Mixture Models - The Math of Intelligence (Week 7)" By Siraj Raval on Youtube
  ☆146Updated 7 years ago
• yandexdataschool / MLatImperial2017
  Materials for the course of machine learning at Imperial College organized by Yandex SDA
  ☆84Updated 8 years ago
• neerjad / MachineLearning
  A repo with tutorials for algorithms from scratch
  ☆100Updated 7 years ago
• dhdepddl / Mining-Massive-Data-Sets
  Stanford CS246 Mining Massive Data Sets course HW
  ☆15Updated 8 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
• khanhnamle1994 / deep-reinforcement-learning
  Programming Assignments and Lectures for UC Berkeley's CS 294: Deep Reinforcement Learning
  ☆57Updated 7 years ago
• djour / PyBRML
  Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning
  ☆164Updated 10 years ago
• dgkim5360 / the-elements-of-statistical-learning-notebooks
  Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…
  ☆293Updated 7 years ago
• Apress / practical-ml-w-python
  Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma
  ☆123Updated 8 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
• paulorauber / pgm
  Probabilistic graphical models in python
  ☆24Updated 6 years ago
• wagonhelm / Reinforcement-Learning-Introduction
  Code from my blog post & online course
  ☆55Updated 6 years ago
• sdrogers / fcmlcode
  ☆135Updated 4 years ago
• mlberkeley / Deep-Learning-Decal-Fall-2017
  ☆26Updated 8 years ago
• awjuliani / oreilly-rl-tutorial
  Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conferen…
  ☆277Updated 5 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)
  ☆291Updated 12 years ago
• jamt9000 / prml
  Some Jupyter notebooks based on Bishop's "Pattern Recognition and Machine Learning" book
  ☆76Updated 5 years ago
• mchablani / deep-learning
  Repo for the Deep Learning Nanodegree Foundations program.
  ☆166Updated 8 years ago