energy-based-model
There are 78 repositories under energy-based-model topic.
jmtomczak/intro_dgm
"Deep Generative Modeling": Introductory Examples
JosephKJ/OWOD
(CVPR 2021 Oral) Open World Object Detection
yell/boltzmann-machines
Boltzmann Machines in TensorFlow with examples
AspirinCode/papers-for-molecular-design-using-DL
List of Molecular and Material design using Generative AI and Deep Learning
energy-based-model/Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch
[ECCV 2022] Compositional Generation using Diffusion Models
accel-brain/accel-brain-code
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.
yataobian/awesome-ebm
Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
cics-nd/pde-surrogate
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
ermongroup/sliced_score_matching
Code for reproducing results in the sliced score matching paper (UAI 2019)
ChenWu98/generative-visual-prompt
[NeurIPS 2022] (Amortized) distributional control for pre-trained generative models
nanlliu/compose-visual-relations
[NeurIPS 2021 Spotlight] Learning to Compose Visual Relations
kevinzakka/ibc
A PyTorch implementation of Implicit Behavioral Cloning
fregu856/ebms_regression
Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model for Regression" (BMVC 2020).
BIT-DA/EADA
[AAAI 2022] Official Implementation of Active Learning for Domain Adaptation: An Energy-based Approach https://arxiv.org/abs/2112.01406
Div99/XQL
Extreme Q-Learning: Max Entropy RL without Entropy
nanlliu/Unsupervised-Compositional-Concepts-Discovery
[ICCV 2023] Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models
JunLi-Galios/CDFL
Code for Weakly Supervised Energy-Based Learning for Action Segmentation (ICCV 2019 Oral)
yuPeiyu98/Latent-Diffusion-EBM
[ICML 2022] Latent Diffusion Energy-Based Model for Interpretable Text Modeling
fregu856/ebms_3dod
Official implementation of "Accurate 3D Object Detection using Energy-Based Models", CVPR Workshops 2021.
yuanyige/tea
[CVPR 2024] TEA: Test-time Energy Adaptation
SHI-Yu-Zhe/generative-modeling-explained
Ying Nian Wu's UCLA Statistical Machine Learning Tutorial on generative modeling.
JosephKJ/ELI
(CVPR 2022) Energy-based Latent Aligner for Incremental Learning
EnergyAttention/Energy-Based-CrossAttention
The official repository of "Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models".
Ending2015a/toy_gradlogp
Some toy examples of score matching algorithms written in PyTorch
yuPeiyu98/Deep-Region-Competition
[NeurIPS 2021] Unsupervised Foreground Extraction via Deep Region Competition
lifeitech/nce
Noise Contrastive Estimation (NCE) in PyTorch
snap-stanford/zeroc
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
ChienFeng-hub/meow
[NeurIPS 2024] Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow
Lemon-cmd/energy-transformer-graph
This repository contains the official code for Energy Transformer---an efficient Energy-based Transformer variant for graph classification
chao1224/SGNN-EBM
Structured Multi-task Learning for Molecular Property Prediction, AISTATS'22 (https://proceedings.mlr.press/v151/liu22e.html)
lzzcd001/ade-code
Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)
sndnyang/JEMPP
PyTorch implementation of JEM++: Improved Techniques for Training JEM
yuPeiyu98/Diffusion-Amortized-MCMC
[NeurIPS 2023] Learning Energy-Based Prior Model with Diffusion-Amortized MCMC
zilongzheng/PatchGenCN
CVPR 2021 Oral Paper PatchGenCN
akarshp28/EIT-EBM
EIT-EBM
gudovskiy/flowenedet
Official PyTorch code for UAI 2023 paper "Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow"