dobriban / Topics-in-deep-learning
Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
☆94Updated 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
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆63Updated 6 years ago
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆43Updated 5 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆92Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2019.☆129Updated 4 years ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆273Updated 5 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆81Updated 7 months ago
- Gaussian Process and Uncertainty Quantification Summer School 2020☆33Updated 2 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
- Code used in the causality course (401-4632-15) at ETH Zurich.☆21Updated 5 years ago
- Course material for the PhD course in Advanced Bayesian Learning☆57Updated 2 months ago
- Bayesian Bandits☆68Updated last year
- ☆36Updated 3 years ago
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 5 years ago
- Causal Inference & Deep Learning, MIT IAP 2018☆85Updated 6 years ago
- Notebooks explaining the intuition behind the Expectation Maximisation algorithm☆38Updated 5 years ago
- ☆63Updated 6 years ago
- python tools to check recourse in linear classification☆74Updated 4 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆119Updated 5 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆27Updated 3 years ago
- Code for reproducing results in Delayed Impact of Fair Machine Learning (Liu et al 2018)☆14Updated 2 years ago
- Lectures for INFO8004 Advanced Machine Learning, ULiège☆104Updated 9 months ago
- ☆22Updated 5 years ago
- Contains all materials for the paper "A counterfactual simulation model of causal judgment".☆23Updated 3 years ago
- ☆78Updated 8 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…☆58Updated 5 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆92Updated 5 years ago
- Practical sessions for the Optimal Transport and Machine learning course at DS3 2018☆88Updated 6 years ago
- Code for "Towards a learning theory of cause-effect inference" (ICML 2015).☆29Updated 4 years ago
- Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds☆11Updated 5 years ago