dobriban / Topics-in-deep-learning
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
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆44Updated 5 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆65Updated 6 years ago
- Bayesian Bandits☆67Updated last year
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- ☆76Updated 4 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…☆54Updated 4 years ago
- Implementation of linear CorEx and temporal CorEx.☆37Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2019.☆129Updated 4 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated 9 months ago
- Contains all materials for the paper "A counterfactual simulation model of causal judgment".☆23Updated 3 years ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆275Updated 6 years ago
- DS-GA 3001: Tools and Techniques for Machine Learning (NYU Fall 2021)☆45Updated last year
- Uncertainty in Conditional Average Treatment Effect Estimation☆30Updated 4 years ago
- Material for STATS271: Applied Bayesian Statistics (Spring 2021)☆26Updated 3 years ago
- ☆37Updated 4 years ago
- Causal Inference & Deep Learning, MIT IAP 2018☆85Updated 7 years ago
- ☆64Updated 6 years ago
- A didactic Python library with well-commented and annotated implementations of machine learning algorithms.☆51Updated 4 years ago
- Materials for Bayesian Methods in Machine Learning Course☆88Updated 4 months ago
- Code used in the causality course (401-4632-15) at ETH Zurich.☆21Updated 5 years ago
- Statistical Rethinking with PyTorch and Pyro☆163Updated 5 years ago
- ☆273Updated 4 years ago
- repository with the lectures for MLSS Skoltech☆139Updated 5 years ago
- Minimax Estimation of Conditional Moment Models☆29Updated last year
- Course material for the PhD course in Advanced Bayesian Learning☆59Updated 3 weeks ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 5 years ago
- ☆87Updated 4 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2020☆33Updated 2 years ago
- Unbiased Markov chain Monte Carlo with couplings☆29Updated 2 years ago
- ☆20Updated 2 years ago