deepgenerativemodels / notes
Course notes
☆660Updated 9 months ago
Alternatives and similar repositories for notes:
Users that are interested in notes are comparing it to the libraries listed below
- ☆781Updated 11 months ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆855Updated 5 years ago
- "Deep Generative Modeling": Introductory Examples☆1,126Updated 4 months ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆797Updated 3 years ago
- Awesome resources on normalizing flows.☆1,486Updated 2 weeks ago
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆611Updated 3 years ago
- VQVAEs, GumbelSoftmaxes and friends☆553Updated 3 years ago
- The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series o…☆689Updated last year
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆635Updated 4 years ago
- PyTorch implementations of algorithms for density estimation☆577Updated 3 years ago
- A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch☆661Updated 2 years ago
- PyTorch implementation of normalizing flow models☆791Updated 5 months ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,439Updated 9 months ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆572Updated last month
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆305Updated 2 months ago
- 🦍 Stanford CS236 : Deep Generative Models☆124Updated 6 years ago
- Normalizing flows in PyTorch☆880Updated last month
- ☆236Updated 2 years ago
- Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)☆287Updated last year
- ☆221Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2022.☆174Updated 2 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆231Updated 6 years ago
- Noise Conditional Score Networks (NeurIPS 2019, Oral)☆694Updated last year
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆274Updated 5 years ago
- JAX - A curated list of resources https://github.com/google/jax☆1,694Updated this week
- Experiments for understanding disentanglement in VAE latent representations☆806Updated 2 years ago
- EPFL Course - Optimization for Machine Learning - CS-439☆1,209Updated this week
- Simple, extendable, easy to understand Glow implementation in PyTorch☆380Updated 2 years ago
- A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.☆702Updated 9 months ago
- MADE (Masked Autoencoder Density Estimation) implementation in PyTorch☆546Updated 6 years ago