yiboyang / PRMLPY
Python demos for Chris Bishop's PRML textbook, and other machine learning stuff
☆23Updated 3 years ago
Alternatives and similar repositories for PRMLPY:
Users that are interested in PRMLPY are comparing it to the libraries listed below
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆79Updated 7 years ago
- Some Jupyter notebooks based on Bishop's "Pattern Recognition and Machine Learning" book☆76Updated 5 years ago
- A collection of tutorials from Deep Learning conferences.☆31Updated 8 years ago
- 📓 Notes from The Neural Perspective (discontinued) blog.☆85Updated 6 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆133Updated 4 years ago
- ☆26Updated 7 years ago
- My solutions to Coursera hosted Bayesian methods course. (https://www.coursera.org/learn/bayesian-methods-in-machine-learning)☆27Updated 7 years ago
- A research into the workflow for Kaggle competition (and data science in general) collaboratively☆47Updated 8 years ago
- Code repository for Large Scale Machine Learning with Python, published by Packt☆90Updated 2 years ago
- ☆82Updated 7 years ago
- STA663 Statistical Computing and Computation, Spring 2016☆86Updated 8 years ago
- Containing codes of participation in Kaggle competitions.☆37Updated 8 years ago
- Solutions to assignments of Coursera Specializations - Deep learning, Machine learning, Algorithms & Data Structures, Image Processing an…☆79Updated 6 years ago
- Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.☆150Updated 3 years ago
- Files for the Advanced Machine Learning Coursera course☆19Updated 6 years ago
- This library is a wrapper for sklearn and works with data stored using Pandas module.☆17Updated 8 years ago
- Algorithm from The Elements of Statistical Learning book implement by Python 3 code☆19Updated 8 years ago
- Probabilistic graphical models in python☆22Updated 5 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆162Updated 9 years ago
- Natural Language Processing Nanodegree from Udacity Platform, in which I implement Hidden Markov Model for POS Tagger, Bidirectional LSTM…☆20Updated 6 years ago
- CS224D Assignments☆109Updated 7 years ago
- A few notebooks on deep learning with PyTorch☆46Updated 2 years ago
- Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.☆105Updated 11 years ago
- Python version of programming assignments for "Neural Networks for Machine Learning" Coursera course taught by Geoffrey Hinton.☆78Updated 7 years ago
- Notes for Data Science 350 Class☆23Updated 7 years ago
- Solutions for Machine Learning Specialization MOOC offered by University of Washington.☆16Updated 7 years ago
- Multilayer Neural Network using numpy.☆55Updated 8 years ago
- ☆78Updated 8 years ago
- MIT 6.034 Artificial Intelligence☆33Updated 6 years ago
- Loan Default Prediction at Kaggle☆24Updated 10 years ago