deepgenerativemodels / notesLinks
Course notes
☆712Updated last year
Alternatives and similar repositories for notes
Users that are interested in notes are comparing it to the libraries listed below
Sorting:
- ☆814Updated 5 months ago
- "Deep Generative Modeling": Introductory Examples☆1,236Updated 2 weeks ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆877Updated 5 years ago
- 🦍 Stanford CS236 : Deep Generative Models☆147Updated 6 years ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆824Updated 4 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…☆748Updated last year
- Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)☆342Updated 2 months ago
- Awesome resources on normalizing flows.☆1,562Updated 2 months ago
- A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch☆698Updated 2 years ago
- ☆233Updated 2 years ago
- VQVAEs, GumbelSoftmaxes and friends☆584Updated 3 years ago
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆629Updated 4 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆122Updated 6 years ago
- Easy generative modeling in PyTorch☆441Updated 2 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆651Updated 4 years ago
- Normalizing flows in PyTorch☆953Updated 8 months ago
- Practical assignments of the Deep|Bayes summer school 2019☆831Updated 5 years ago
- Lilian's Blog☆571Updated 2 years ago
- PyTorch implementation of normalizing flow models☆875Updated last year
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,520Updated last year
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆137Updated last year
- A simple tutorial of Variational AutoEncoders with Pytorch☆406Updated last year
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆179Updated last year
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆308Updated 2 months ago
- The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)☆1,064Updated 2 years ago
- [NeurIPS'19] Deep Equilibrium Models☆758Updated 3 years ago
- Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations☆775Updated last year
- Quick, visual, principled introduction to pytorch code through five colab notebooks.☆434Updated 8 months ago
- A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.☆929Updated last year
- ML Collections is a library of Python Collections designed for ML use cases.☆978Updated 2 weeks ago