joeybose / comp760_lecturenotes
COMP760 Lecture Notes
☆25Updated 2 years ago
Alternatives and similar repositories for comp760_lecturenotes:
Users that are interested in comp760_lecturenotes are comparing it to the libraries listed below
- GraphCON (ICML 2022)☆58Updated 2 years ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆54Updated last year
- A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks☆131Updated 3 years ago
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆30Updated last year
- ☆60Updated 3 years ago
- ☆38Updated 4 years ago
- Implementation of Action Matching☆41Updated last year
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆51Updated 2 weeks ago
- Code for Graph Normalizing Flows.☆62Updated 5 years ago
- Score-based generative models for compact manifolds☆110Updated last year
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆57Updated last year
- Stochastic Normalizing Flows☆76Updated 3 years ago
- ☆32Updated 10 months ago
- ☆19Updated 2 months ago
- Algorithms for computations on random manifolds made easier☆90Updated last year
- A library for programmatically generating equivariant layers through constraint solving☆267Updated last year
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 3 years ago
- ☆34Updated 2 years ago
- A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)☆42Updated last year
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆30Updated 4 months ago
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆110Updated last year
- Benchmarks for Model-Based Optimization☆91Updated last year
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆82Updated 2 years ago
- ☆52Updated 2 years ago
- Official implementation of Fisher-Flow Matching (NeurIPS 2024).☆20Updated 6 months ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆53Updated 2 years ago
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆80Updated 10 months ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆169Updated 3 years ago
- Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…☆79Updated 4 years ago
- Official repository for "Categorical Normalizing Flows via Continuous Transformations"☆56Updated 4 years ago