EmoryMLIP / DeepGenerativeModelingIntroLinks
PyTorch Code used in 'Introduction to Deep Generative Modeling'
☆53Updated 4 years ago
Alternatives and similar repositories for DeepGenerativeModelingIntro
Users that are interested in DeepGenerativeModelingIntro are comparing it to the libraries listed below
Sorting:
- Code for random Fourier features based on Rahimi and Recht's 2007 paper.☆55Updated 4 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 2 years ago
- Implementations of Normalizing Flows in Pytorch/Pyro☆19Updated 5 years ago
- Implementation of normalizing flows from 1d to Nd☆37Updated 4 years ago
- Implementation of Action Matching☆44Updated 2 years ago
- Stochastic Normalizing Flows☆78Updated 3 years ago
- A PyTorch Implementation of Density Estimation Using Real NVP☆74Updated 4 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆103Updated last year
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆33Updated 3 years ago
- A library for uncertainty quantification based on PyTorch☆121Updated 3 years ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆24Updated last year
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆55Updated 11 months ago
- Neural Diffusion Processes☆81Updated 11 months ago
- ☆23Updated 3 years ago
- A minimalist implementation of score-based diffusion model☆127Updated 3 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆42Updated 3 years ago
- Official repository for "Categorical Normalizing Flows via Continuous Transformations"☆56Updated 4 years ago
- Experiments for Neural Flows paper☆97Updated 3 years ago
- Official implementation of Deep Momentum Schrödinger Bridge☆27Updated last year
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆71Updated 2 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆223Updated last year
- Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".☆21Updated 4 years ago
- PyTorch implementation of Variational Diffusion Models.☆86Updated last year
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆37Updated last year
- ☆152Updated 2 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆48Updated this week
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆84Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated last year
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆147Updated 5 years ago
- Collecting research materials on neural samplers with diffusion/flow models☆54Updated last week