liang456 / Stanford-Probabilistic-Graphical-Models-Coursera
☆81Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for Stanford-Probabilistic-Graphical-Models-Coursera
- Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.☆105Updated 11 years ago
- ☆78Updated 7 years ago
- A collection of tutorials from Deep Learning conferences.☆31Updated 7 years ago
- Collection of probabilistic models and inference algorithms☆241Updated 4 years ago
- Material for the Montréal Deep Learning Summer School 2017☆77Updated 7 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆62Updated 5 years ago
- ☆30Updated 6 years ago
- Some example scripts on pytorch☆197Updated 3 years ago
- Some Jupyter notebooks based on Bishop's "Pattern Recognition and Machine Learning" book☆75Updated 4 years ago
- Edward content including papers, posters, and talks☆90Updated 4 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆162Updated 9 years ago
- The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).☆72Updated 7 years ago
- Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)☆291Updated 11 years ago
- A curated list of resources dedicated to bayesian deep learning☆412Updated 7 years ago
- DrMAD☆108Updated 7 years ago
- Tensorflow implementation of "Transforming Autoencoders" (Proposed by G.E.Hinton, et al.)☆61Updated 7 years ago
- Experiments in Bayesian Machine Learning☆68Updated 5 years ago
- My personal collection for some Machine Learning Lecture/ Tutorial Notes☆11Updated 8 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- DS-GA-1005 Inference and Representation☆14Updated 7 years ago
- This repository contains my implementation of the programming assignments of Probabilistic Graphical Models delivered by Stanford Univers…☆32Updated 7 years ago
- Bayesian Machine Learning☆206Updated 2 years ago
- Applied Deep Learning Workshop London 2017☆72Updated 7 years ago
- Probabilistic graphical models in python☆22Updated 5 years ago
- Courera Version of Graphical Model.. Cooperate with Jian Guo.☆121Updated 7 years ago
- Pytorch exercises☆96Updated 7 years ago
- Tutorials for deep learning☆253Updated 6 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆65Updated 7 years ago
- ☆94Updated 9 years ago