yiboyang / PRMLPY
Python demos for Chris Bishop's PRML textbook, and other machine learning stuff
☆23Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for PRMLPY
- My solutions to Coursera hosted Bayesian methods course. (https://www.coursera.org/learn/bayesian-methods-in-machine-learning)☆27Updated 6 years ago
- A repo with tutorials for algorithms from scratch☆100Updated 6 years ago
- Experiments in Bayesian Machine Learning☆68Updated 5 years ago
- Deep Learning using Python/C++/OpenCV☆18Updated 3 months ago
- This library is a wrapper for sklearn and works with data stored using Pandas module.☆17Updated 8 years ago
- A Python Package for data processing and building ML models, primarily based on pandas and sklearn libraries.☆17Updated 5 years ago
- A neural network class in Python built from scratch☆8Updated 7 years ago
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆79Updated 7 years ago
- Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.☆151Updated 3 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2017☆26Updated last year
- Coursera☆12Updated 8 years ago
- Some Jupyter notebooks based on Bishop's "Pattern Recognition and Machine Learning" book☆75Updated 4 years ago
- Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator☆30Updated 6 years ago
- medium blog supplementaries | Backprop | Resnet & ResNext | RNN |☆73Updated 2 years ago
- A public wiki for the deep learning reading group at UC Berkeley☆27Updated 8 years ago
- A compiled list of kaggle competitions and their winning solutions for sequence problems.☆35Updated 8 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆162Updated 9 years ago
- Code from my blog post & online course☆54Updated 5 years ago
- Solutions to assignments of Coursera Specializations - Deep learning, Machine learning, Algorithms & Data Structures, Image Processing an…☆79Updated 6 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆133Updated 4 years ago
- A collection of tutorials from Deep Learning conferences.☆31Updated 7 years ago
- Materials for the course of machine learning at Imperial College organized by Yandex SDA☆81Updated 7 years ago
- ☆26Updated 7 years ago
- Probabilistic graphical models in python☆22Updated 5 years ago
- ☆34Updated 7 years ago
- Containing codes of participation in Kaggle competitions.☆37Updated 8 years ago
- Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016☆26Updated 8 years ago
- Deep Learning DTU summer school 2015☆22Updated 8 years ago
- These will be public notes for courses that I'm self-studying.☆26Updated 4 years ago