energy-based-model 开源项目推荐（108 个）

jmtomczak /intro_dgm

"Deep Generative Modeling": Introductory Examples

JosephKJ /OWOD

(CVPR 2021 Oral) Open World Object Detection

AspirinCode /papers-for-molecular-design-using-DL

使用生成AI和深度学习进行分子和材料设计列表

yell /boltzmann-machines

Boltzmann Machines in TensorFlow with examples

energy-based-model /Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch

[ECCV 2022] Compositional Generation using Diffusion Models

yataobian /awesome-ebm

Collecting research materials on energy/entropy based models

accel-brain /accel-brain-code

这个仓库的目的是在我网站上写的概念验证（PoC）和研发（R&D）背景下，制作原型作为案例研究。主要研究主题包括与表示学习相关的自编码器、基于能量模型的统计机器学习、对抗生成网络（GAN）、深度强化学习（如深度Q网络）、半监督学习以及用于自然语言处理的神经网络语言模型。

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

noegroup /ScoreMD

A framework for training energy-based diffusion models for sampling and energy estimation.

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).

nanlliu /compose-visual-relations

[NeurIPS 2021 Spotlight] Learning to Compose Visual Relations

BIT-DA /EADA

[AAAI 2022] Official Implementation of Active Learning for Domain Adaptation: An Energy-based Approach https://arxiv.org/abs/2112.01406

Div-Infinity /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

yuanyige /tea

[CVPR 2024] TEA: Test-time Energy Adaptation

guangyliu /LatentOps

[EMNLP 2023] Composable text generation & editing by ODE sampling in the latent space of a pretrained-LM VAE — compose sentiment, tense, formality, keyword controls without retraining

yuPeiyu98 /Latent-Diffusion-EBM

[ICML 2022] Latent Diffusion Energy-Based Model for Interpretable Text Modeling