dobriban / Topics-in-deep-learningLinks
Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
☆97Updated 3 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☆46Updated 6 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆70Updated 7 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 5 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆95Updated 4 years ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆277Updated 6 years ago
- ☆275Updated 5 years ago
- ☆64Updated 7 years ago
- Statistical Rethinking with PyTorch and Pyro☆166Updated 8 months ago
- Lectures for INFO8004 Advanced Machine Learning, ULiège☆116Updated 9 months ago
- Causal Inference & Deep Learning, MIT IAP 2018☆89Updated 7 years ago
- List of resources for bayesian inference☆158Updated 6 years ago
- ☆81Updated 5 years ago
- Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…☆60Updated 6 years ago
- Contains all materials for the paper "A counterfactual simulation model of causal judgment".☆24Updated 4 years ago
- repository with the lectures for MLSS Skoltech☆139Updated 6 years ago
- Code for Randomly Projected Additive Gaussian Processes☆25Updated 6 years ago
- Bayesian Bandits☆68Updated 2 years ago
- ☆38Updated 4 years ago
- Understanding ML and deep learning through geometry☆156Updated 4 years ago
- repository with the tutorials for MLSS Skoltech☆66Updated 6 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆194Updated 2 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- MLSS2019 Tutorial on Bayesian Deep Learning☆93Updated 6 years ago
- Pyro models and misc examples.☆19Updated 4 years ago
- Practical sessions for the Optimal Transport and Machine learning course at DS3 2018☆93Updated 7 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 4 years ago
- Presented at Scipy Conference 2019☆127Updated 5 years ago
- Bayesian Learning course at Stockholm University☆157Updated 2 weeks ago
- Minimax Estimation of Conditional Moment Models☆32Updated 2 years ago