Alternatives and similar repositories for PRMLPY

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

• paulorauber / pgm
  Probabilistic graphical models in python
  ☆23Updated 6 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
• prakashjayy / medium_blogs
  medium blog supplementaries | Backprop | Resnet & ResNext | RNN |
  ☆73Updated 3 years ago
• jamt9000 / prml
  Some Jupyter notebooks based on Bishop's "Pattern Recognition and Machine Learning" book
  ☆76Updated 5 years ago
• joanbruna / ir17
  ☆31Updated 7 years ago
• Kyubyong / integer_sequence_learning
  RNN Approaches to Integer Sequence Learning--the famous Kaggle competition
  ☆28Updated 8 years ago
• littlezz / ESL-Model
  Algorithm from The Elements of Statistical Learning book implement by Python 3 code
  ☆19Updated 8 years ago
• mlberkeley / Deep-Learning-Decal-Fall-2017
  ☆26Updated 7 years ago
• hiwonjoon / cs294-deep-rl-hw
  Berkeley DeepRL Homework
  ☆11Updated 7 years ago
• thedataincubator / DS30_4
  Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator
  ☆30Updated 6 years ago
• liang456 / Stanford-Probabilistic-Graphical-Models-Coursera
  ☆83Updated 8 years ago
• jmschrei / notebooks
  Various notebooks and tutorials on subjects of interest.
  ☆36Updated 4 years ago
• Spandan-Madan / NLP-Intuition-and-Applications-of-word-embeddings
  UPCOMING TUTORIAL on Word Representations and how they are important for NLP applications.
  ☆32Updated 7 years ago
• yunjey / davian-tensorflow
  tensorflow tutorial for beginner to intermediate
  ☆48Updated 8 years ago
• keon / deeptravel
  Solving Traveling Salesman Problem (TSP) using Deep Learning
  ☆33Updated 8 years ago
• wangz10 / class_imbalance
  Jupyter Notebook presentation for class imbalance in binary classification
  ☆49Updated 6 years ago
• mila-iqia / summerschool2017
  Material for the Montréal Deep Learning Summer School 2017
  ☆77Updated 7 years ago
• suriyadeepan / BayesianML
  Experiments in Bayesian Machine Learning
  ☆69Updated 5 years ago
• lanttern / Recommender-System
  Coursera
  ☆12Updated 9 years ago
• alexsosn / MarslandMLAlgo
  Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.
  ☆150Updated 4 years ago
• nfmcclure / DataScience350
  Notes for Data Science 350 Class
  ☆24Updated 8 years ago
• inf16nyu / home
  ☆77Updated 8 years ago
• GokuMohandas / the-neural-perspective
  📓 Notes from The Neural Perspective (discontinued) blog.
  ☆83Updated 6 years ago
• vsmolyakov / ml
  machine learning
  ☆39Updated 6 years ago
• PacktPublishing / Practical-Reinforcement-Learning
  Practical​ Reinforcement Learning, published by Packt
  ☆25Updated 2 years ago
• EFavDB / svm-classification
  SVM classification using custom kernel + make plot.ly plots
  ☆14Updated 9 years ago
• harvard-ml-courses / cs181-lectures
  ☆38Updated 6 years ago
• rasbt / pydata-annarbor2017-dl-tutorial
  Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
  ☆80Updated 7 years ago
• domluna / deep-rl-gym-tutorials
  Some code for tutorials following https://gym.openai.com/docs/rl
  ☆14Updated 8 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