kuleshov-group / dgm-resourcesLinks
☆54Updated last year
Alternatives and similar repositories for dgm-resources
Users that are interested in dgm-resources are comparing it to the libraries listed below
Sorting:
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆191Updated 2 years ago
- 🦍 Stanford CS236 : Deep Generative Models☆155Updated 6 years ago
- Materials of the Nordic Probabilistic AI School 2022.☆180Updated 3 years ago
- A Tutorial for Diffusion Models☆59Updated 2 years ago
- Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…☆137Updated last year
- Minimal Implementation of a D3PM in pytorch☆270Updated last year
- Flow-matching algorithms in JAX☆107Updated last year
- Collection of tutorials on diffusion models, step-by-step implementation guide, scripts for generating images with AI, prompt engineering…☆142Updated 8 months ago
- A repo where I play with conditional flow approaches for learning time-varying vector-fields.☆23Updated last year
- Simple illustrative examples for energy-based models in PyTorch☆67Updated 5 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- Deep Learning, an Energy Approach☆220Updated 5 months ago
- Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)☆350Updated 4 months ago
- My take on Flow Matching☆84Updated 10 months ago
- All about the fundamentals and working of Diffusion Models☆159Updated 2 years ago
- From-scratch diffusion model implemented in PyTorch.☆98Updated last year
- NUS CS5242 Neural Networks and Deep Learning, Xavier Bresson, 2025☆403Updated 6 months ago
- The boundary of neural network trainability is fractal☆217Updated last year
- Advanced Topics in Artificial Intelligence, NUS CS6208, 2023☆326Updated 2 years ago
- A minimal PyTorch implementation of the VQ-VAE model described in "Neural Discrete Representation Learning".☆83Updated 3 years ago
- Computer Vision and Pattern Recognition, NUS CS4243, 2022☆176Updated 3 years ago
- Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.☆173Updated 2 years ago
- Experiment with diffusion models that you can run on your local jupyter instances☆63Updated last year
- A simple tutorial of Diffusion Probabilistic Models☆106Updated 11 months ago
- ☆187Updated last year
- Parameter-Free Optimizers for Pytorch☆131Updated last year
- A Simplified PyTorch Implementation of Vision Transformer (ViT)☆219Updated last year
- Course notes☆731Updated last year
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆70Updated 8 months ago
- [NeurIPS 2025] Official repository for "Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling"☆174Updated 3 weeks ago