mila-iqia / ivado-mila-dl-school-2019-vancouverLinks
☆11Updated 5 years ago
Alternatives and similar repositories for ivado-mila-dl-school-2019-vancouver
Users that are interested in ivado-mila-dl-school-2019-vancouver are comparing it to the libraries listed below
Sorting:
- Data visualization workshop☆11Updated 5 years ago
- Repo for open sourcing the NAMs.☆25Updated 5 years ago
- Workshop on Target Leakage in Machine Learning I taught at ODSC Europe 2018 (London) and ODSC East 2019, 2020 (Boston)☆37Updated 5 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆29Updated 5 years ago
- In which I try to demystify the fundamental concepts behind Bayesian deep learning.☆123Updated 8 years ago
- Ordinal Regression tutorial for the International Summer School on Deep Learning 2019☆70Updated 6 years ago
- 100 Days of Experimenting with TensorFlow Probability☆39Updated 6 years ago
- Small Dataset Benchmarks on the Dataset of Datasets UCI++☆93Updated 3 years ago
- Talks from Neil Lawrence☆54Updated 2 years ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- Advanced random forest methods in Python☆58Updated 2 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆147Updated last year
- Materials of the Nordic Probabilistic AI School 2019.☆130Updated 5 years ago
- Papers and code related to 'Less Than One'-Shot (LO-Shot) Learning☆88Updated last year
- Generalized additive models in Python with a Bayesian twist☆78Updated 3 months ago
- Minimax Estimation of Conditional Moment Models☆32Updated 2 years ago
- Reading history for Fair ML Reading Group in Melbourne☆36Updated 4 years ago
- The Incredible TensorFlow 2: a curated list of tutorials, papers, projects, communities and more relating to TensorFlow 2.☆30Updated 6 years ago
- Presented at Scipy Conference 2019☆127Updated 5 years ago
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 7 years ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆94Updated 2 years ago
- Bayesian Bandits☆68Updated 2 years ago
- Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science☆91Updated 6 years ago
- A Python package for unwrapping ReLU DNNs☆68Updated last year
- A Python package for building Bayesian models with TensorFlow or PyTorch☆176Updated 3 years ago
- Explaining dimensionality results using SHAP values☆55Updated 10 months ago
- ☆71Updated 5 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆105Updated 6 years ago
- Following along with Statistical Rethinking text on Bayesian modeling by McElreath☆68Updated 5 years ago
- DataHack Challenges - Challenges offered during our hackathon by top data companies.☆12Updated 5 years ago