JeanKossaifi / caltech-tutorialLinks
Material for my Caltech tutorial on deep learning and tensor methods
☆70Updated 6 years ago
Alternatives and similar repositories for caltech-tutorial
Users that are interested in caltech-tutorial are comparing it to the libraries listed below
Sorting:
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.☆98Updated 3 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆186Updated last year
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- ☆169Updated last year
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago
- Understanding normalizing flows☆132Updated 5 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- Normalizing Flows in Jax☆107Updated 4 years ago
- Slides and notebooks for the IfI Summer School 2018 on Machine Learning☆36Updated 7 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆67Updated 6 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- Stochastic Deep Networks☆17Updated 6 years ago
- Experiments with Neural ODEs and Adversarial Attacks☆44Updated 6 years ago
- ☆26Updated 6 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 10 years ago
- ☆59Updated 6 years ago
- ☆116Updated last year
- Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18☆52Updated 6 years ago
- Basic experiment framework for tensorflow.☆91Updated 4 years ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆60Updated 5 years ago
- ☆64Updated 7 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- ☆28Updated 5 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 5 months ago