inf16nyu / home
☆78Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for home
- ☆30Updated 6 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆62Updated 5 years ago
- Edward content including papers, posters, and talks☆90Updated 4 years ago
- DS-GA-1011 Natural Language Processing with Representation Learning☆81Updated 6 years ago
- Deep exponential families (DEFs)☆56Updated 6 years ago
- DS-GA-1005 Inference and Representation☆14Updated 7 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 6 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆162Updated 9 years ago
- Course materials for STA663☆37Updated 8 years ago
- Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python☆45Updated 9 years ago
- Slides for the tutorial talk on Bayesian Machine Learning at PyCon 2017☆11Updated 7 years ago
- STA663 Statistical Computing and Computation, Spring 2016☆86Updated 8 years ago
- PyMC3 tutorial for DataScience LA (January 2017)☆68Updated 6 years ago
- ☆29Updated 7 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- Materials for Bayesian Methods in Machine Learning Course☆87Updated this week
- ☆81Updated 7 years ago
- This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…☆41Updated 10 years ago
- Slides and exercises for the Theano tutorial at the Deep Learning School in Stanford, September 24-25, 2016☆114Updated 8 years ago
- The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).☆72Updated 7 years ago
- Repository for practical assignments for UvA Deep Learning Course 2016☆51Updated 7 years ago
- Experiments in Bayesian Machine Learning☆67Updated 5 years ago
- A Python library for reinforcement learning using Bayesian approaches☆52Updated 9 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆65Updated 7 years ago
- Lecture notes on probabilistic graphical modeling, based on Stanford CS228 (work in progress!)☆30Updated 7 years ago