JeanKossaifi / ifi-summer-schoolLinks
Slides and notebooks for the IfI Summer School 2018 on Machine Learning
☆36Updated 7 years ago
Alternatives and similar repositories for ifi-summer-school
Users that are interested in ifi-summer-school are comparing it to the libraries listed below
Sorting:
- Material for my Caltech tutorial on deep learning and tensor methods☆70Updated 6 years ago
- Metamodeling, sensitivity analysis and visualization using the tensor train format☆21Updated 2 years ago
- ☆26Updated 7 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 10 years ago
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 6 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- ☆51Updated 11 months ago
- Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18☆52Updated 6 years ago
- PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.☆99Updated 3 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Updated 6 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Deep convolutional gaussian processes.☆79Updated 5 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆42Updated 5 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated last year
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 7 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 5 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- ☆25Updated 6 years ago
- Python implementation of Conditional Random Fields (CRF) for Optical Character Recognition (OCR)☆7Updated 10 years ago
- Slides, Jupyter Notebooks and scripts for the Deep Learning: Do-It-Yourself! lectures at ENS☆21Updated 4 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆47Updated 9 years ago
- Efficient Unitary Neural Network(EUNN) implementation in Tensorflow☆73Updated 6 years ago
- Wasserstein / earth mover's distance visualizations☆66Updated 8 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago