dobriban / Topics-in-deep-learningLinks
Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
☆95Updated 2 years ago
Alternatives and similar repositories for Topics-in-deep-learning
Users that are interested in Topics-in-deep-learning are comparing it to the libraries listed below
Sorting:
- Materials of the Nordic Probabilistic AI School 2019.☆130Updated 5 years ago
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆45Updated 6 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆67Updated 6 years ago
- ☆275Updated 5 years ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆278Updated 6 years ago
- Lectures for INFO8004 Advanced Machine Learning, ULiège☆113Updated 5 months ago
- ☆64Updated 7 years ago
- Bayesian Bandits☆68Updated last year
- Statistical Rethinking with PyTorch and Pyro☆164Updated 3 months ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- ☆78Updated 5 years ago
- Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of Aug…☆55Updated 4 years ago
- Understanding ML and deep learning through geometry☆157Updated 3 years ago
- Contains all materials for the paper "A counterfactual simulation model of causal judgment".☆24Updated 4 years ago
- List of resources for bayesian inference☆157Updated 6 years ago
- ☆38Updated 4 years ago
- Presented at Scipy Conference 2019☆127Updated 5 years ago
- Materials for Bayesian Methods in Machine Learning Course☆90Updated this week
- Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…☆59Updated 5 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Code for Randomly Projected Additive Gaussian Processes☆25Updated 5 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆93Updated 5 years ago
- repository with the lectures for MLSS Skoltech☆139Updated 5 years ago
- Causal Inference & Deep Learning, MIT IAP 2018☆89Updated 7 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Pyro models and misc examples.☆19Updated 4 years ago
- Python 3.7 version of David Barber's MATLAB BRMLtoolbox☆25Updated 7 years ago
- legend☆207Updated last year
- Bayesian Learning course at Stockholm University☆156Updated last month
- Collection of probabilistic models and inference algorithms☆241Updated 5 years ago