JeanKossaifi / caltech-tutorialLinks
Material for my Caltech tutorial on deep learning and tensor methods
☆70Updated 7 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:
- PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.☆98Updated 4 years ago
- Autoregressive Energy Machines☆78Updated 3 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 6 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆192Updated 2 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- ☆172Updated last year
- Understanding normalizing flows☆132Updated 6 years ago
- ☆59Updated 6 years ago
- Experiments with Neural ODEs and Adversarial Attacks☆44Updated 6 years ago
- Slides and notebooks for the IfI Summer School 2018 on Machine Learning☆36Updated 7 years ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆42Updated 5 years ago
- Normalizing Flows in Jax☆107Updated 5 years ago
- ☆85Updated 5 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Wasserstein / earth mover's distance visualizations☆66Updated 8 years ago
- ☆61Updated 2 years ago
- ☆28Updated 6 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 7 years ago
- ☆116Updated 2 years ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆61Updated 5 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago
- RBM in Pytorch☆59Updated 8 years ago
- ☆25Updated 7 years ago
- Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."☆46Updated 6 years ago
- A differentiation API for PyTorch☆30Updated 5 years ago
- A lightweight library for tensorflow 2.0☆65Updated 6 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆14Updated 6 years ago
- Understanding ML and deep learning through geometry☆157Updated 3 years ago