"Deep Generative Modeling": Introductory Examples
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Updated
Apr 25, 2024 - Jupyter Notebook
"Deep Generative Modeling": Introductory Examples
(CVPR 2021 Oral) Open World Object Detection
Boltzmann Machines in TensorFlow with examples
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 net…
List of molecular design using Generative AI and Deep Learning
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
[ECCV 2022] Compositional Generation using Diffusion Models
Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
Code for reproducing results in the sliced score matching paper (UAI 2019)
Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model for Regression" (BMVC 2020).
[NeurIPS 2021 Spotlight] Learning to Compose Visual Relations
[AAAI 2022] Official Implementation of Active Learning for Domain Adaptation: An Energy-based Approach https://arxiv.org/abs/2112.01406
A PyTorch implementation of Implicit Behavioral Cloning
Official implementation of "Accurate 3D Object Detection using Energy-Based Models", CVPR Workshops 2021.
Extreme Q-Learning: Max Entropy RL without Entropy
(CVPR 2022) Energy-based Latent Aligner for Incremental Learning
PyTorch implementation of JEM++: Improved Techniques for Training JEM
Ying Nian Wu's UCLA Statistical Machine Learning Tutorial on generative modeling.
Code for Weakly Supervised Energy-Based Learning for Action Segmentation (ICCV 2019 Oral)
Some toy examples of score matching algorithms written in PyTorch
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