inf16nyu / home
☆77Updated 8 years ago
Alternatives and similar repositories for home:
Users that are interested in home are comparing it to the libraries listed below
- ☆31Updated 7 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆66Updated 6 years ago
- DS-GA-1011 Natural Language Processing with Representation Learning☆81Updated 7 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- DS-GA-1005 Inference and Representation☆15Updated 7 years ago
- Edward content including papers, posters, and talks☆91Updated 4 years ago
- STA663 Statistical Computing and Computation, Spring 2016☆87Updated 8 years ago
- ☆29Updated 7 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆163Updated 9 years ago
- Some iPython Notebooks I have created for personal learning☆65Updated last year
- Repository for practical assignments for UvA Deep Learning Course 2016☆51Updated 7 years ago
- ☆82Updated 8 years ago
- Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python☆45Updated 10 years ago
- Course materials for STA663☆37Updated 8 years ago
- Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.☆92Updated 7 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago
- Materials for Bayesian Methods in Machine Learning Course☆88Updated 4 months ago
- The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).☆72Updated 7 years ago
- Slides for the tutorial talk on Bayesian Machine Learning at PyCon 2017☆11Updated 7 years ago
- Slides and exercises for the Theano tutorial at the Deep Learning School in Stanford, September 24-25, 2016☆114Updated 8 years ago
- Torch notebooks and slides for the Bay Area Deep Learning Summer School☆97Updated 8 years ago
- Deep Learning DTU summer school 2015☆22Updated 8 years ago
- code for pydata madrid presentation☆53Updated 8 years ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 6 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆66Updated 7 years ago
- Courera Version of Graphical Model.. Cooperate with Jian Guo.☆122Updated 8 years ago
- Bayesian machine learning in Python☆76Updated 9 years ago
- Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016☆26Updated 8 years ago
- Material for the Montréal Deep Learning Summer School 2017☆77Updated 7 years ago