There are 9 repositories under energy-based-model topic.
Boltzmann Machines in TensorFlow with examples
List of molecular design using Generative AI and Deep Learning
[ECCV 2022] Compositional Generation using Diffusion Models
The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
Code for reproducing results in the sliced score matching paper (UAI 2019)
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
[NeurIPS 2022] (Amortized) distributional control for pre-trained generative models
[NeurIPS 2021 Spotlight] Learning to Compose Visual Relations
Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model for Regression" (BMVC 2020).
A PyTorch implementation of Implicit Behavioral Cloning
[ICCV 2023] Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models
Code for Weakly Supervised Energy-Based Learning for Action Segmentation (ICCV 2019 Oral)
[ICML 2022] Latent Diffusion Energy-Based Model for Interpretable Text Modeling
Some toy examples of score matching algorithms written in PyTorch
Ying Nian Wu's UCLA Statistical Machine Learning Tutorial on generative modeling.
The official repository of "Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models".
[NeurIPS 2021] Unsupervised Foreground Extraction via Deep Region Competition
ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more complex, hierarchical concepts, even across domains
This repository contains the official code for Energy Transformer---an efficient Energy-based Transformer variant for graph classification
CVPR 2021 Oral Paper PatchGenCN
Official implementation of "Learning Proposals for Practical Energy-Based Regression", AISTATS 2022.
A Theano implementation of a CNN DSEBM (deep structured energy-based model) described in https://arxiv.org/pdf/1605.07717v2.pdf
Official PyTorch code for UAI 2023 paper "Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow"