thejakeyboy / umich-eecs545-lecturesLinks
This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Arbor.
☆221Updated 8 years ago
Alternatives and similar repositories for umich-eecs545-lectures
Users that are interested in umich-eecs545-lectures are comparing it to the libraries listed below
Sorting:
- ☆78Updated 8 years ago
- ☆83Updated 8 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆67Updated 6 years ago
- Slides and exercises for the Theano tutorial at the Deep Learning School in Stanford, September 24-25, 2016☆114Updated 8 years ago
- Materials for EECS 445, an undergraduate Machine Learning course taught at the University of Michigan, Ann Arbor.☆100Updated 8 years ago
- ☆31Updated 7 years ago
- Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)☆290Updated 11 years ago
- DS-GA-1005 Inference and Representation☆15Updated 8 years ago
- ☆92Updated 10 years ago
- Material for the Montréal Deep Learning Summer School 2017☆77Updated 8 years ago
- Repository for practical assignments for UvA Deep Learning Course 2016☆51Updated 7 years ago
- STATS385 course website☆89Updated 2 years ago
- Courera Version of Graphical Model.. Cooperate with Jian Guo.☆122Updated 8 years ago
- DS-GA-1011 Natural Language Processing with Representation Learning☆79Updated 7 years ago
- Short tutorial for TensorFlow, designed to be presented in-person☆133Updated 8 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆163Updated 10 years ago
- UCL MSc Computational Statistics and Machine Learning Revision Notes☆288Updated 7 years ago
- STA663 Statistical Computing and Computation, Spring 2016☆87Updated 9 years ago
- ☆265Updated 8 years ago
- A collection of tutorials on neural networks, using Theano☆223Updated 2 years ago
- Personal and biased selection of ML resources☆151Updated 5 years ago
- The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).☆72Updated 8 years ago
- Materials for Bayesian Methods in Machine Learning Course☆90Updated this week
- Torch notebooks and slides for the Bay Area Deep Learning Summer School☆97Updated 8 years ago
- A collection of tutorials from Deep Learning conferences.☆32Updated 8 years ago
- Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.☆93Updated 7 years ago
- Montréal Deep Learning Summer School 2016 material☆100Updated 9 years ago
- A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2016☆223Updated 8 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- Solutions to the assignments of the CPSC 540 Machine Learning course (2013) taught by Nando de Freitas☆24Updated 11 years ago