inf16nyu / homeLinks
☆78Updated 8 years ago
Alternatives and similar repositories for home
Users that are interested in home are comparing it to the libraries listed below
Sorting:
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆67Updated 6 years ago
- Edward content including papers, posters, and talks☆91Updated 4 years ago
- ☆31Updated 7 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆163Updated 10 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- DS-GA-1011 Natural Language Processing with Representation Learning☆81Updated 7 years ago
- The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).☆72Updated 8 years ago
- Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)☆305Updated 10 years ago
- ☆30Updated 7 years ago
- ☆83Updated 8 years ago
- This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Ar…☆221Updated 8 years ago
- Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)☆290Updated 11 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
- Materials for Bayesian Methods in Machine Learning Course☆89Updated 7 months ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- STA663 Statistical Computing and Computation, Spring 2016☆87Updated 9 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆68Updated 7 years ago
- Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.☆92Updated 7 years ago
- ☆98Updated 7 years ago
- Applied Probabilistic Programming & Bayesian Machine Learning (MIT IAP 2017)☆33Updated 8 years ago
- ☆24Updated 9 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- Bayesian machine learning in Python☆76Updated 9 years ago
- DS-GA-1005 Inference and Representation☆15Updated 7 years ago
- Experiments in Bayesian Machine Learning☆69Updated 6 years ago
- Poisson-Gamma dynamical systems☆17Updated 8 years ago
- Course materials for STA663☆37Updated 9 years ago
- my blog☆268Updated 3 years ago
- Collection of jupyter notebooks for demonstrating software.☆167Updated 2 years ago