duke-mlss / Duke-MLWS-2019Links
Duke Machine Learning Winter School 2019
☆27Updated 6 years ago
Alternatives and similar repositories for Duke-MLWS-2019
Users that are interested in Duke-MLWS-2019 are comparing it to the libraries listed below
Sorting:
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18☆52Updated 7 years ago
- ☆30Updated 3 years ago
- Parametric Gaussian Process Regression for Big Data (Matlab Version)☆24Updated 7 years ago
- A Discussion on Solving Partial Differential Equations using Neural Networks☆66Updated 6 years ago
- PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.☆98Updated 4 years ago
- Course notes for graduate-level class on numerical methods for deep learning☆51Updated 4 years ago
- ☆21Updated 7 years ago
- jupyter notebooks for the neural nets and differential equation paper☆28Updated 4 years ago
- Deep Learning application to the partial differential equations☆30Updated 7 years ago
- Bayesian calibration using Tensorflow Probability☆35Updated 7 years ago
- Talks from Neil Lawrence☆54Updated 2 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆45Updated 7 years ago
- TensorFlow Probability Tutorial☆38Updated 6 years ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆94Updated 2 years ago
- This implementation of DeePyMoD is no longer maintained! We switched to a PyTorch based implementation: https://github.com/PhIMaL/DeePyM…☆24Updated 5 years ago
- ☆74Updated 6 years ago
- A hands-on tutorial on supervised learning with Gaussian processes☆37Updated 6 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
- ☆14Updated 6 years ago
- Lectures for INFO8004 Advanced Machine Learning, ULiège☆115Updated 8 months ago
- Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation☆12Updated 4 years ago
- A tutorial for students that surveys basic ML techniques in ipython notebook format.☆30Updated 6 years ago
- Use SINDY algorithm to discover a dynamical system from coronavirus data☆13Updated last year
- ☆14Updated 8 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 6 years ago
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆45Updated 6 years ago
- UNIVR PDE course project and just for fun☆117Updated 8 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 7 years ago
- The Incredible TensorFlow 2: a curated list of tutorials, papers, projects, communities and more relating to TensorFlow 2.☆30Updated 6 years ago