liang456 / Stanford-Probabilistic-Graphical-Models-Coursera
☆82Updated 7 years ago
Alternatives and similar repositories for Stanford-Probabilistic-Graphical-Models-Coursera:
Users that are interested in Stanford-Probabilistic-Graphical-Models-Coursera are comparing it to the libraries listed below
- Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.☆104Updated 12 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆163Updated 9 years ago
- Material for the Montréal Deep Learning Summer School 2017☆77Updated 7 years ago
- ☆77Updated 8 years ago
- DS-GA-1005 Inference and Representation☆15Updated 7 years ago
- Bayesian Machine Learning☆207Updated 2 years ago
- A collection of tutorials from Deep Learning conferences.☆32Updated 8 years ago
- Courera Version of Graphical Model.. Cooperate with Jian Guo.☆122Updated 8 years ago
- Benchmark and build RL architectures that can do multitask and transfer learning.☆142Updated 2 years ago
- code for pydata madrid presentation☆53Updated 8 years ago
- a bunch of notes about machine learning, image statistics, theoretical neuroscience, etc.☆47Updated 6 years ago
- My personal collection for some Machine Learning Lecture/ Tutorial Notes☆11Updated 9 years ago
- ☆31Updated 7 years ago
- Collection of probabilistic models and inference algorithms☆241Updated 4 years ago
- Programming assignments for the class☆23Updated 13 years ago
- Convolutional Neural Networks for Visual Recognition in Stanford☆68Updated 9 years ago
- Some example scripts on pytorch☆197Updated 3 years ago
- Studying Reinforcement Learning Guide☆151Updated 7 years ago
- My ML/AI blog☆36Updated 8 years ago
- Repository for practical assignments for UvA Deep Learning Course 2016☆51Updated 7 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆66Updated 7 years ago
- Some Jupyter notebooks based on Bishop's "Pattern Recognition and Machine Learning" book☆76Updated 5 years ago
- Experiments in Bayesian Machine Learning☆69Updated 5 years ago
- ☆93Updated 9 years ago
- Scripts that generate .html to more easily see NIPS papers☆152Updated 7 years ago
- TensorFlow implementation of Value Iteration Networks (VIN): Clean, Simple and Modular☆52Updated 8 years ago
- DrMAD☆107Updated 7 years ago
- CS224D Assignments☆109Updated 7 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆66Updated 6 years ago
- My Matlab code solutions to the famous UFLDL Tutorial. It includes all the proposed exercises.☆18Updated 5 years ago